The daily firehose — everything the toolchain shipped today, already filtered.
We read every release from the 1309 tools on our watchlist at the source — GitHub and GitLab release notes, vendor release pages and changelogs, project blogs and feeds, vendor press releases, and the source code behind the tag. Bug-fix-only releases and non-product newsroom noise are dropped; what's left is summarized down to the new capability, how to try it, and any screenshots or videos the release itself published. Every entry links to the sources it was built from.
READ AS
Focus:What features shipped and what problems they solve, plus launches, packaging and where the market is moving.
Leaves out:Command-line flags, API-only deltas, usage examples, and releases that are only refinements.
Focus:New security controls, new APIs, and product improvements you can put to work, plus anything an upgrade breaks.
Leaves out:Launch and marketing news, governance, pricing, and documentation changes with no operational effect.
Focus:Dashboards, reporting, and anything you can quantify: metrics, coverage, risk scores, compliance impact, vendor moves.
Leaves out:Settings, flags, API and command-line detail, library bumps, and minor releases with no reporting or posture angle.
Focus:API, SDK and MCP changes, new libraries, breaking changes in what you import, and cyber tooling.
Leaves out:Governance, SOC operations, and vendor launches with no developer surface.
AMOUNT
DETAIL
ORDER
This issue came out before editions were ranked, so it shows the Standard edition in issue order.
rfcat v3.0.0 brings the tool into the Python 3 era, adding PySide6 support and fixing widespread Python 3 compatibility issues, including a now-working spectrum analyzer button.
└──▷ WHAT SHIPPED ·
2 FEATURES0 OF 2 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Python 3 compatibility fixes across codebaseimproved35how completely this was documenteddepth20/40specificity10/30actionability5/3035 / 100
Extends Python 3 compatibility across the codebase, resolving str/bytes and print-statement issues that previously broke functionality under Python 3.
— Describes fix scope but no concrete modules or commandsv3.0.0
0200
PySide6 support with working spectrum analyzernew30how completely this was documenteddepth15/40specificity10/30actionability5/3030 / 100
Adds PySide6 support to the GUIGUIA graphical user interface, controls such as windows, buttons and menus. It lets people use software visually rather than entering commands., with the spectrum analyzer button now working correctly under Python 3.
— Names PySide6 and spectrum analyzer but no usage detailv3.0.0
Collect a dossier on a person by username from 3000+ sites
Maigret's v0.6.4 release adds QQ and Bilibili account lookup, tags over 2,200 sites by country and topic for targeted scanning, grows the site database, enriches recursive search via socid_extractor, and revamps the web interface with live scan progress and session history; documentation separately adds a new legacy XMind mindmap report format.
└──▷ WHAT SHIPPED ·
8 FEATURES0 OF 8 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
XMind mindmap report formatnew80how completely this was documenteddepth25/40specificity25/30actionability30/3080 / 100
Adds a -X / --xmind flag to generate a legacy XML XMind mindmap report, one file per username, that includes a manifest for compatibility with modern XMind readers.
Generate an XMind mindmap report for a username to visualize OSINTOSINTOpen-source intelligence, collecting and analyzing information from publicly available sources. Investigators use it to learn about people, infrastructure or threats. findings in XMind-compatible tools.
$ maigret --xmind <username>
— Exact flag and runnable example command given.product docs
0200
Site tagging by country and topicnew70how completely this was documenteddepth25/40specificity25/30actionability20/3070 / 100
Tags 2,210 sites in the database by country and topic, enabling more targeted scans with --tags.
— Names flag and exact site count, no example command.v0.6.4
thinner coverage below
0300
Profile enrichment via socid_extractor URL mutationsimproved55how completely this was documenteddepth25/40specificity20/30actionability10/3055 / 100
Adds enrichment via socid_extractor URL mutations, extracting more linked accounts and IDs from profile pages during recursive search.
— Names mechanism but gives no command or flag.v0.6.4
0400
QQ and Bilibili account lookup supportnew50how completely this was documenteddepth20/40specificity20/30actionability10/3050 / 100
Adds QQ account search via the qq_id identifier type, enabling lookup of QQ users alongside usernames, and adds support for Bilibili account lookup.
— Names identifier type but no usage example given.v0.6.4
0500
Web interface live scan and session improvementsimproved45how completely this was documenteddepth20/40specificity15/30actionability10/3045 / 100
Updates the web interface with live scan progress, settings persistence across sessions, scan history, and improved navigation.
— Lists UI features but no navigation path given.v0.6.4
0600
32 new sites added to site databasenew40how completely this was documenteddepth15/40specificity20/30actionability5/3040 / 100
Adds 32 new sites to the database (21 in one batch, 11 in another), plus CSDN for Chinese-language username lookups.
— Names counts and one site, no further detail.v0.6.4
0700
Per-site encoding configuration in site databasenew30how completely this was documenteddepth15/40specificity10/30actionability5/3030 / 100
Adds per-site encoding configuration to the site database, allowing correct handling of non-ASCII identifiers.
— Describes purpose only, no config key named.v0.6.4
0800
AI report prompt and default model updateimproved30how completely this was documenteddepth15/40specificity10/30actionability5/3030 / 100
Updates the AI report prompt and default model, improving the quality of AI-generated investigation summaries.
autonomous red teaming platform; multi-agent offensive-security meta-harness
T3MP3ST gains LiteLLM gateway, Hugging Face + NanoGPT providers, SOCKS5SOCKS5A proxy protocol that relays TCP and UDP traffic through an intermediary server without inspecting it, letting cyber tools tunnel connections through firewalls or pivot hosts with minimal overhead. proxy, six OSINTOSINTOpen-source intelligence, collecting and analyzing information from publicly available sources. Investigators use it to learn about people, infrastructure or threats. adapters, subdomain-takeover detection, and multi-language white-box ingest.
└──▷ TRY IT
Preview a safe upstream sync before committing any changes, to verify what would be updated without touching git state.
$ pwsh scripts/update.ps1 -DryRun
Adds SOCKS5 egress proxy support plus hardened local-model path, enabling outbound traffic routing through a SOCKS5 proxy.
Adds LiteLLM as an AI gateway provider, broadening the range of LLMLLMA large language model, a neural network trained on large amounts of text to recognize patterns and generate language. Applications use it for tasks such as answering, summarizing and writing code. backends T3MP3ST can reach.
Adds Hugging Face provider and selectable local Claude Code models as new LLM backends.
Adds native NanoGPT provider support.
Adds six keyless recon/OSINT adapters with argument templates to the arsenal.
+16 moreshow less
Adds built-in subdomain takeover detection to the arsenal.
Adds source and supply-chain parsers to the arsenal.
Adds multi-language white-box ingest via web-tree-sitter, with extraction of JS/TS arrow and function-expression definitions.
Adds live progress and recon bootstrap to the scan workflow.
Adds memcpy/memmove with non-constant length detection to the binary analysis arsenal.
Adds a Universal API Config panel (settings) with server-side model fetch.
Adds Docker deployment support including a Dockerfile healthcheck and localhost-only bind (127.0.0.1).
Updates DeepSeek models to V4 Flash and V4 Pro.
Adds support for OpenCode and Oh My Pi as local agents.
Adds a local-agent disconnect control to the UI.
Adds origin-scoped target headers configurable from environment variables.
Adds a portable strict War Room preflight check.
Adds a reproducible cross-model benchmark matrix.
Adds a safe cross-platform upstream updater (scripts/update.ps1) with DryRun, Hard, Force, and KeepBackup parameters.
Enhances function callingfunction callingA model's ability to answer with a structured request to run a named function or API, which the application executes and returns. It is how agents take actions. with richer schemas, validation, parallel execution, and Ollama native support.
Adds scope-receipt approval UI and target-scoped approval receipts for Admiral expanded scope.
Veracode is a cloud-based application security platform that performs static, dynamic, and software composition analysis to identify vulnerabilities.
Veracode added business unit selection for DASTDASTDynamic application security testing, probing a running application from the outside for vulnerabilities. It checks behavior exposed through the application's interfaces. targets, real-time in-app scan status notifications, and improved SSLSSLA cryptographic protocol for encrypting network connections, now deprecated in favor of TLS but whose name persists colloquially. Cyber tools reference it when handling HTTPS or other encrypted-channel inspection and termination. certificate checks for a broken access control weakness.
└──▷ WHAT SHIPPED ·
3 FEATURES0 OF 3 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
CAA record check detection for CWE-862improved50how completely this was documenteddepth20/40specificity25/30actionability5/3050 / 100
Adds improved detection for CAA record checks on SSL certificates for CWECWECommon Weakness Enumeration, a catalog of recurring software and hardware weakness types. It describes classes of mistakes, such as injection, rather than individual vulnerability instances.-862 in both Dynamic Analysis and DAST.
Openlayer is a platform for monitoring and evaluating large language model performance, quality, and safety in production.
Openlayer's update centers on new APIs for drilling into test-result rows and deleting projects, plus MCPMCPModel Context Protocol, a standard for connecting AI applications to external tools and data sources. A compatible server exposes capabilities an assistant can use through a common interface. custom functions and downloadable metric bundles, alongside a breaking rename of system tags to categories.
└──▷ WHAT SHIPPED ·
5 FEATURES0 OF 5 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
System tags renamed to categoriesbreaking55how completely this was documenteddepth20/40specificity20/30actionability15/3055 / 100
Openlayer's system tags are renamed to categories; user-defined labels remain called tags.
— Clear rename with before/after but no migration stepssnapshot-20260812
0200
Row-level test result APInew45how completely this was documenteddepth15/40specificity15/30actionability15/3045 / 100
A new API endpoint lets users pull individual rows from specific test results, enabling programmatic drill-down into evaluation data.
— Names an API endpoint but no exact path or method givensnapshot-20260812
0300
Project deletion APInew45how completely this was documenteddepth15/40specificity15/30actionability15/3045 / 100
A new API endpoint allows deleting projects, and this is available via the TypeScript SDK.
— SDK access named but no exact endpoint path or methodsnapshot-20260812
0400
Downloadable custom metrics bundlesnew40how completely this was documenteddepth15/40specificity10/30actionability15/3040 / 100
Custom metrics bundles are now viewable and downloadable directly from the UI.
— Clear UI location but no further detail on format or scopesnapshot-20260812
0500
Custom functions in MCP integrationnew30how completely this was documenteddepth10/40specificity10/30actionability10/3030 / 100
The MCP integration now supports custom functions that can be called from Openlayer.
— States capability only, no mechanism or example givensnapshot-20260812
└──▷ ALSO FROM THESE RELEASES
└──▷ BREAKING ON UPGRADE
!
Openlayer system tags are renamed to categories; user-defined labels remain tags.
StepSecurity is a security platform that hardens GitHub Actions workflows and CI/CD pipelines by reducing attack surface and preventing supply chain compromises.
StepSecurity's Self-Hosted Runners page now merges GitHub-registered and agent-reported runners into one fleet inventory, requiring admins to approve a new GitHub App permission to see organization-level runners.
└──▷ WHAT SHIPPED ·
1 FEATURE0 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Unified self-hosted runner fleet inventorynew85how completely this was documenteddepth35/40specificity28/30actionability22/3085 / 100
A new Self-hosted runners: Read-only organization permission on the StepSecurity GitHub App lets it list runners registered at the organization level via the GitHub API, not just those reporting through the Harden-Runner agent; admins must approve this pending request under Organization Settings → GitHub Apps for org-level runners to appear. The Self-Hosted Runners page then merges org-level, repo-level, and agent-reported runners into one inventory, marking agent-less runners as Not installed in the Harden Runner column, and each entry shows a discovery source, a registration scope badge (Org or Repo with repository name), and a lifecycle classification (Persistent or Ephemeral). A per-runner detail panel adds agent version and install time for agent-reported runners, and level, OS, runner group, labels, and observed job counts for GitHub-registered runners, alongside fleet search by name or label, status filtering, last-sync timestamps, and an on-demand refresh.
Approve the new GitHub App permission so your full runner fleet — including organization-level runners never seen by the agent — appears in the StepSecurity inventory.
📍In GitHub, go to Organization Settings → GitHub Apps, locate the StepSecurity app, and approve the pending Self-hosted runners: Read-only permission request.
Cloudsmith is a cloud-based software supply chain platform for securely managing and distributing software packages and artifacts.
Cloudsmith took its policy-as-code system and vulnerability scanning to general availability, and made the Rego policy editor catch mistakes as you type.
└──▷ WHAT SHIPPED ·
3 FEATURES1 OF 3 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0101
Continuous risk detection reaches general availabilitynew70how completely this was documenteddepth30/40specificity25/30actionability15/3070 / 100
Continuous risk detection is now generally available, providing automatic vulnerability and malicious-package checking for every package in a workspace with no scheduled or manual rescans required. It replaces Trivy with OSV.devOSV.devAn open-source vulnerability database and API maintained by Google that aggregates CVEs and ecosystem-specific advisories in a unified schema, giving cyber tools a single feed to query for package-level vulnerability data. as the data source powering vulnerability results in the web app and API, unifying it with the source that has driven policy evaluation since early access.
Policy management reaches general availabilitynew55how completely this was documenteddepth20/40specificity20/30actionability15/3055 / 100
Cloudsmith's policy-as-code system for enforcing rules across the software supply chainsoftware supply chainThe dependencies, tools and processes used to build and deliver software. Compromising one part can affect the products or organizations that rely on it. is now generally available across the web app, API, and Terraform provider.
Inline Rego error checking in policy editorimproved55how completely this was documenteddepth25/40specificity15/30actionability15/3055 / 100
The policy editor now highlights Rego syntax and logic errors inline and in a dedicated error panel as you write, catching mistakes before saving. Autocomplete in the editor also suggests schema fields as you type.
.NET Decompiler with support for PDB generation, ReadyToRun, Metadata (&more) - cross-platform!
ILSpy v11.0 ports its GUIGUIA graphical user interface, controls such as windows, buttons and menus. It lets people use software visually rather than entering commands. from WPF to Avalonia for native Linux and macOS support, drops legacy Visual Studio add-in support, and adds several ilspycmd flags aimed at agentic/LLMLLMA large language model, a neural network trained on large amounts of text to recognize patterns and generate language. Applications use it for tasks such as answering, summarizing and writing code. decompilation workflows.
└──▷ WHAT SHIPPED ·
6 FEATURES1 OF 6 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
ilspycmd flags for agentic decompilation workflowsnew85how completely this was documenteddepth25/40specificity30/30actionability30/3085 / 100
ilspycmd gains a --member flag for single-member decompilation to reduce token spend in agentic/LLM workflows, a --dump-table metadata dump mode, and fuzzy matching for -t type name resolution.
Decompile a single method from an assembly to minimize output and reduce token usage when calling from an AI agent.
Dump a specific metadata table from an assembly for low-level inspection without full decompilation.
$ ilspycmd MyAssembly.dll --dump-table
— Three named CLI flags with example commands for twov11.0
0201
Avalonia port replaces WPF frontendbreaking60how completely this was documenteddepth30/40specificity20/30actionability10/3060 / 100
ILSpy is ported from WPF to Avalonia, enabling native GUI support on Linux and macOS in addition to Windows; the WPF frontend has been entirely removed.
— Clear before/after but no migration steps givenv11.0
thinner coverage below
0300
VS2017/2019 add-in removedbreaking50how completely this was documenteddepth20/40specificity20/30actionability10/3050 / 100
The Visual Studio 2017/2019 add-in has been removed; only VS2022–2026 add-ins are supported going forward.
— States the change but no upgrade path detailedv11.0
0400
Load assemblies from NuGet feed or running processnew50how completely this was documenteddepth15/40specificity20/30actionability15/3050 / 100
Adds File / Open from NuGet feed to load assemblies directly from a NuGetNuGetMicrosoft's package manager for .NET, hosting a public registry of reusable libraries so tools can pull in dependencies without bundling or manually maintaining third-party code. feed, and File / Open from running process available on Windows, Linux and macOS.
— Named UI menu paths but no config or commandv11.0
0500
Bookmarks for decompiled code viewnew45how completely this was documenteddepth15/40specificity15/30actionability15/3045 / 100
Adds Window / Bookmarks — a full-featured bookmarks implementation for the decompiled C# view.
— Named menu path, no detail on bookmark mechanicsv11.0
0600
Omnibar breadcrumb/search barnew45how completely this was documenteddepth15/40specificity15/30actionability15/3045 / 100
Adds View / Options / Display / Show Omnibar — a breadcrumb/search bar shown at the top of decompiled code.
— Named UI toggle path but behavior undescribedv11.0
└──▷ BREAKING ON UPGRADE
!
The WPF frontend has been entirely removed; ILSpy now uses the Avalonia frontend exclusively.
!
The VS2017/2019 add-in has been removed; only VS2022–2026 add-ins are supported going forward.
GuardDog is a CLI tool to Identify malicious PyPI and npm packages
GuardDog v3.2.0 extends its malicious-package detection to a new ecosystem with Rust crates support, adds a new npm supply-chain tampering check, and changes default behavior for npm dependency verification.
└──▷ WHAT SHIPPED ·
3 FEATURES1 OF 3 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Rust crates scanning on crates.ionew85how completely this was documenteddepth30/40specificity25/30actionability30/3085 / 100
Adds guarddog crates scan <package> and guarddog crates verify <Cargo.lock> to scan Rust crates hosted on crates.io using the same YARA + metadata risk engine used for other ecosystems.
Scan a Rust crate from crates.io for supply-chain risks, getting JSON output for downstream processing.
$ guarddog crates scan serde --output-format=json
Verify all production Rust dependencies in a project's lockfile, ignoring dev-only crates.
$ guarddog crates verify /tmp/repo/Cargo.lock
— Names exact new subcommands and their scope, with runnable examples.v3.2.0
0201
devDependencies excluded by default in npm verifybreaking60how completely this was documenteddepth25/40specificity20/30actionability15/3060 / 100
guarddog npm verify now excludes npm devDependencies by default, reducing noise in CI pipelines that only care about production dependencies; setups that previously relied on devDependencies being scanned will no longer flag them unless explicitly included.
— Names exact command and behavior change, with migration note.v3.2.0
thinner coverage below
0300
npm provenance-disappearance detectionnew45how completely this was documenteddepth20/40specificity15/30actionability10/3045 / 100
A new npm metadata check flags packages when provenanceprovenanceEvidence recording where a software artifact came from and how it was built, including its source and build process. It helps a consumer check that the artifact matches a trusted build. attestations disappear between releases, detecting a potential supply-chain tampering signal.
— Explains what it detects but no command shown.v3.2.0
└──▷ BREAKING ON UPGRADE
!
guarddog npm verify now excludes devDependencies by default; setups that previously relied on devDependencies being scanned will no longer flag them unless explicitly included.
Sophos DNS Protection is a security service that blocks malicious websites and threats by filtering DNS queries at the network level.
Sophos DNS Protection introduces a dedicated Generative AI web category for policy-level control over AI site access, and renames its business category group to reflect the change.
└──▷ WHAT SHIPPED ·
2 FEATURES2 OF 2 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0101
Generative AI web category for filtering policiesnew75how completely this was documenteddepth30/40specificity25/30actionability20/3075 / 100
Adds the Generative AI category to the Business and generative AI category group, letting filtering policies block or allow generative AI websites independently of other categories. Supports an allowlist workflow: block the Generative AI category in a policy, then create a domain list of approved AI URLs and allow that domain list in the same policy to permit only sanctioned AI services.
Category group renamed to Business and generative AIbreaking40how completely this was documenteddepth15/40specificity15/30actionability10/3040 / 100
The Business-relevant site categories category group is renamed to Business and generative AI to reflect the addition of the Generative AI category; documentation, runbooks, or policy references to the old name need updating.
The Business-relevant site categories category group is renamed to Business and generative AI; any documentation, runbooks, or references to the old name will need to be updated.
Sophos Central Firewall is a cloud-managed network security platform providing centralized firewall protection and threat defense for organizations.
Sophos Central Firewall added the ability to stage firmware upgrades on select firewalls before wider rollout.
└──▷ WHAT SHIPPED ·
1 FEATURE1 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0101
Staged firmware upgrade validationnew35how completely this was documenteddepth15/40specificity10/30actionability10/3035 / 100
Supports staging firewalls to validate firmware upgrades before rolling them out to the broader firewall fleet.
Fastly is a content delivery network and edge computing platform that accelerates website performance and provides security services globally.
Fastly's Terraform provider gained management support for Audit Log Event Mappings, while the Historical Stats and Real-Time Analytics APIs picked up new Private Access Token challenge metrics for troubleshooting.
└──▷ WHAT SHIPPED ·
2 FEATURES0 OF 2 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Audit Log Event Mapping resource in Terraform providernew70how completely this was documenteddepth20/40specificity25/30actionability25/3070 / 100
Fastly Terraform Provider 9.6.0 adds fastly_audit_log_event_mapping as a new Terraform resource and data source for managing Audit Log Event Mappings.
PAT challenge metrics in Historical Stats and Real-Time Analyticsnew50how completely this was documenteddepth20/40specificity20/30actionability10/3050 / 100
The Historical Stats API and Real-Time Analytics API now include two new Private Access Token challenge metrics: a count of issued PATPATA personal access token, a credential used by scripts and integrations instead of a user's password. Its permissions and expiry depend on the service issuing it. challenges and a count of successful PAT challenges, enabling troubleshooting of Private Access Token flows.
Kubescape is an open-source Kubernetes security platform for your IDE, CI/CD pipelines, and clusters. It includes risk analysis, security, compliance, and misconfiguration scanning, saving Kubernetes users and administrators precious time, effort, and resources.
Kubescape v4.0.12 adds a scan-cancellation API endpoint, new scan flags, expanded output formats, MCPMCPModel Context Protocol, a standard for connecting AI applications to external tools and data sources. A compatible server exposes capabilities an assistant can use through a common interface. server scanning tools, Terraform manifest scanning, cloud registry vulnerability adaptors, and a switch to RegoV1-only policy evaluation, alongside registry-auth, streaming, and host-sensor performance work.
└──▷ WHAT SHIPPED ·
19 FEATURES2 OF 19 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
New scan command flagsnew80how completely this was documenteddepth25/40specificity30/30actionability25/3080 / 100
The workload scan command gains --api-version to specify the API version of the scanned resource, --label-selector to filter collected resources during a scan, and --only-fixable to gate the scan image severity threshold on fix availability.
— Three flags named with purpose but no usage examples.v4.0.12
0200
Expanded output formats across scan, list, and config commandsnew75how completely this was documenteddepth25/40specificity30/30actionability20/3075 / 100
Adds markdown output format to the scan printer alongside existing JSON, SARIFSARIFStatic Analysis Results Interchange Format, a standard for sharing code-analysis findings, including locations and rule details. It lets scanners report results to a common review interface., HTML, CSV, etc.; adds csv and yaml output formats to the list command; adds --output json to the version command for machine-readable version info; adds configurable output formats to config view; adds a CSV output format with remediation path evidence columns to scan results; and extends image scans to support all output formats, aligning patch and scan image output options.
— Formats and commands named but no sample output shown.v4.0.12
0300
MCP server scanning toolsnew65how completely this was documenteddepth20/40specificity25/30actionability20/3065 / 100
Adds a scan_container_image MCP server tool for on-demand container image vulnerability scanning, a headless framework security scanner MCP tool, and a local IaCIaCInfrastructure as Code: the practice of defining and provisioning compute infrastructure through machine-readable config files rather than manual processes, giving cyber tools repeatable, version-controlled environment setup. scanner MCP tool, all exposed via kubescape mcpserver.
— Tools named but no invocation details given.v4.0.12
0400
API endpoint to cancel in-flight scansnew60how completely this was documenteddepth15/40specificity20/30actionability25/3060 / 100
Adds DELETE /v1/scan API endpoint to cancel an in-flight scan.
— Endpoint named but no request or response details.v4.0.12
thinner coverage below
0500
Cloud registry vulnerability adaptors and AKS mappingnew55how completely this was documenteddepth20/40specificity25/30actionability10/3055 / 100
Introduces a native GCP Artifact Registry vulnerability adaptor (Container Image Vulnerability, Phase 2) and a Container Image Vulnerability (CIV) adaptor for Azure Container Registry, plus adds Azure AKSAKSAzure Kubernetes Service, Microsoft's managed Kubernetes offering, which lets cyber tools offload cluster provisioning and scaling to Azure so engineers focus on workload logic instead of control-plane operations. support to ListEntitiesForPolicies resource mapping.
— Adaptors named but no configuration steps given.v4.0.12
0600
Offline tarball image scanningnew50how completely this was documenteddepth15/40specificity15/30actionability20/3050 / 100
Supports scanning local offline tarball images with kubescape scan image.
— Command named but no flag or example shown.v4.0.12
0700
Registry authentication improvements for image scansimproved50how completely this was documenteddepth20/40specificity20/30actionability10/3050 / 100
Adds an automated in-cluster private registry credential resolver for image scans, fallback support for OpenShift external registry routes, and support for scoped registry auth for image scans.
— Mechanisms named but no config keys or flags given.v4.0.12
0800
Terraform manifest scanningnew45how completely this was documenteddepth15/40specificity20/30actionability10/3045 / 100
Adds scanning of kubernetes_manifest and typed kubernetes_* resources within Terraform files.
— Resource types named but no scan command usage shown.v4.0.12
0901
RegoV1-only policy evaluationbreaking45how completely this was documenteddepth20/40specificity15/30actionability10/3045 / 100
Switches Rego evaluation to RegoV1, dropping the v0 compatibility shim; policies relying on v0 Rego syntax will break.
— Impact stated but no migration steps given.v4.0.12
1000
Resource streaming for large clustersimproved40how completely this was documenteddepth20/40specificity15/30actionability5/3040 / 100
Adds resource streaming for large clusters (feat(streaming)) to reduce memory usage during scans.
— Benefit stated but no configuration or limits given.v4.0.12
1100
Host-sensor query optimizationsimproved35how completely this was documenteddepth15/40specificity15/30actionability5/3035 / 100
Optimizes host-sensor queries with paging, rate limits, and caching.
— Mechanisms listed but no numbers or config given.v4.0.12
1200
Current field values shown alongside failed pathsimproved35how completely this was documenteddepth15/40specificity15/30actionability5/3035 / 100
Surfaces current field values alongside failed paths in scan output (HTML and printer).
— Output change described but no example shown.v4.0.12
1300
Concurrent deduplicated image scan pipelineimproved30how completely this was documenteddepth15/40specificity10/30actionability5/3030 / 100
Implements a concurrent and deduplicated image scan pipeline (KS-ADV-02) to improve throughput.
— Improvement stated but no metrics or config given.v4.0.12
1400
Configurable workload kinds in resource prioritizationimproved30how completely this was documenteddepth15/40specificity10/30actionability5/3030 / 100
Supports configurable workload kinds and dynamic pod template spec detection in resource prioritization.
— Capability named but no config key or example given.v4.0.12
1500
Duration-based environment variable configurationnew30how completely this was documenteddepth10/40specificity15/30actionability5/3030 / 100
Adds ParseDurationEnvVar for duration-based environment variable configuration.
— Function named but no usage example given.v4.0.12
1602
Runtime profile drift detection and remediationnew25how completely this was documenteddepth10/40specificity10/30actionability5/3025 / 100
Implements Runtime Profile Drift Detection and Remediation (KS-ADV-01).
— Named only by internal code, no mechanism described.v4.0.12
1700
CEL findings gain remediation pathsimproved20how completely this was documenteddepth10/40specificity10/30actionability0/3020 / 100
CELCELCommon Expression Language, an open-source expression language maintained by Google, used to embed lightweight, safe policy evaluation logic into tools without running a full scripting engine. findings now carry the same remediation paths as their Rego equivalents.
— Change stated with no mechanism or example.v4.0.12
1800
Cloud exceptions preferred over CRD exceptionsimproved20how completely this was documenteddepth10/40specificity10/30actionability0/3020 / 100
Cloud exceptions are now preferred over CRDCRDA Kubernetes extension that adds a new object type to the cluster, so a tool's configuration is stored, validated and versioned by Kubernetes itself rather than in a file beside it. exceptions (feat(exceptions)).
— Precedence change stated without configuration detail.v4.0.12
1900
Unified scan stdin input handlingimproved15how completely this was documenteddepth10/40specificity5/30actionability0/3015 / 100
Unifies scan stdin input handling for consistent behavior across scan commands.
— Change described generically without specifics.v4.0.12
└──▷ BREAKING ON UPGRADE
!
Rego policies are now evaluated with RegoV1 only — the v0 compatibility shim has been removed. Policies relying on v0 Rego syntax will break.
Wiz is a cloud security platform that identifies and remediates risks across cloud infrastructure and applications.
Wiz launches Atlas, an autonomous multi-agent AI system for vulnerability research that ranked #1 on the CyberGym benchmark and uncovered 200+ previously unknown vulnerabilities in major open-source projects, backed by an internal model-routing benchmark and a strict evaluation-driven development process.
└──▷ WHAT SHIPPED ·
3 FEATURES1 OF 3 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0101
Atlas autonomous AI vulnerability researchernew70how completely this was documenteddepth35/40specificity30/30actionability5/3070 / 100
Wiz introduces Atlas, a multi-agent AI system for AI SASTSASTStatic application security testing, analyzing source code or compiled code for vulnerabilities without running the application. It helps developers find problems before deployment. that maps attack surfacesattack surfacesThe exposed systems, interfaces and access points an attacker could try to use. It includes internet-facing services as well as identities, software and other reachable resources. via a code property graph (CPG), hunts vulnerabilities in parallel using independent agents, and validates each finding through an adversarial debate — one agent argues exploitability, one argues against, a third adjudicates — before confirming real security impact by dynamically executing a generated exploit in a dedicated execution environment. Atlas ranked #1 on CyberGym, the public benchmark for AI-driven vulnerability research, with a 90.9% success rate, and uncovered 200+ previously unknown vulnerabilities in heavily audited open-source projects including grpc, dnsmasq, Kubernetes, gVisorgVisorA user-space kernel written in Go by Google that intercepts and handles system calls on behalf of a container, sandboxing it without needing a full VM., the Linux kernel, and containerd.
— Explains mechanism and results but no user-facing config or command.2026-07-27-44780eb3
thinner coverage below
0200
Cyber Model Arena for AI model routingnew50how completely this was documenteddepth25/40specificity20/30actionability5/3050 / 100
Atlas uses an internal benchmark called Cyber Model Arena to continuously evaluate newly released models across threat modeling, hunting, validation, and proof-generation tasks, routing each pipeline stage to whichever model currently wins on that task.
— Describes internal routing mechanism with no external interface.2026-07-27-44780eb3
0300
Evaluation-Driven Development for Atlas pipelinenew40how completely this was documenteddepth20/40specificity15/30actionability5/3040 / 100
Atlas development follows Evaluation-Driven Development (EDD), requiring strict quality metrics for every AI component and stage, including a dedicated validation eval that scores candidate ratings against known false-positive and true-positive ground-truth sets, before any pipeline change is accepted.
— Internal QA process description, nothing for readers to act on.2026-07-27-44780eb3
Plexicus expanded SCMSCMSource Code Management: version-control systems (Git, SVN, etc.) that track changes to code over time, giving cyber tools reproducible builds, audit trails, and collaborative development workflows. onboarding across three releases—multi-account connections, nested GitLab groups and broader roles, and zero-touch first-boot setup—while also upgrading CVSSCVSSCommon Vulnerability Scoring System, a method for describing a vulnerability's characteristics and severity. Its score is not the probability that attackers will exploit it. scoring and hardening its AI remediation path.
└──▷ WHAT SHIPPED ·
6 FEATURES0 OF 6 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Zero-touch first-boot onboardingimproved50how completely this was documenteddepth25/40specificity15/30actionability10/3050 / 100
Frictionless first-boot onboarding now completes end to end with zero manual intervention, covering initial boot, sample-repo scan, and the in-product GitHub App flow.
GitLab onboarding for nested groups and broader rolesimproved45how completely this was documenteddepth20/40specificity15/30actionability10/3045 / 100
GitLab repository connection now supports nested groups during onboarding, and onboarding was extended to broader access roles, reducing friction for teams with non-admin members.
NVD-backed CVSS scoringimproved30how completely this was documenteddepth15/40specificity10/30actionability5/3030 / 100
CVSS scoring is upgraded to use NVDNVDThe National Vulnerability Database, maintained by NIST, is the U.S. government repository of CVE records enriched with CVSS scores and metadata; cyber tools query it to drive vulnerability prioritization.-backed data, improving accuracy of vulnerability severity scores across findings.
Aikido Security is a developer-focused platform that identifies and remediates vulnerabilities in code, dependencies, and infrastructure.
Aikido's biggest addition this window is code-based DSPMDSPMData security posture management, locating sensitive data and checking how it is protected and who can reach it. It helps teams prioritize risks around their data stores. via a new Data Exposure Audit that traces sensitive data through source code without connecting to production data stores, alongside agentic PR analysis (Deep Review), Android pentesting, AI-built custom reports, and a grab-bag of integration and platform updates.
└──▷ WHAT SHIPPED ·
13 FEATURES2 OF 13 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0101
Data Exposure Audit (code-based DSPM)new80how completely this was documenteddepth35/40specificity30/30actionability15/3080 / 100
New Data Exposure Audit feature uses LLMLLMA large language model, a neural network trained on large amounts of text to recognize patterns and generate language. Applications use it for tasks such as answering, summarizing and writing code. agents to trace sensitive data from sources (request bodies, uploads, DB reads, config, application logic) to sinks (logs, third-party APIs, LLM prompts, caches, queues, storage) without connecting to any production data store. It detects credentials in URLs, API over-exposure (endpoints returning excess fields, missing tenant ownership checks), unsafe logging of unredacted PIIPIIPersonally Identifiable Information — data that can identify a specific individual, such as names, email addresses, or SSNs. Cyber tools flag or redact it to limit exposure and meet privacy regulations. and secrets, over-broad third-party and AI data sharing, weak storage (unencrypted regulated data, base64/MD5/SHA-1SHA-1A cryptographic hash function standardized by NIST that produces a 160-bit digest; tools use it for file integrity checks, though it is now considered cryptographically broken and unsuitable for collision-resistant applications. misused as encryption), and incomplete deletion flows leaving downstream records and caches intact. It runs against already-connected repositories with no new data source to onboard, and each audit consumes credits from the Aikido Wallet.
Free monthly Aikido Credits for Deep Review and Security Auditnew60how completely this was documenteddepth20/40specificity25/30actionability15/3060 / 100
Pro and Advanced plans now receive 100–200 free Aikido Credits per month for use with Deep Review and Security Audit.
AI-built Custom Reportsnew55how completely this was documenteddepth25/40specificity15/30actionability15/3055 / 100
New Custom Reports capability lets users describe a report in plain language; the Aikido Agent builds it from findings and makes it shareable across the workspace.
Deep Review agentic PR analysisnew50how completely this was documenteddepth25/40specificity15/30actionability10/3050 / 100
New Deep Review feature performs agentic PR analysis that goes beyond the diff, examining surrounding code and linked repositories to catch business logic mistakes and cross-service security issues.
Kubernetes agent updates: FIPS variants and container label annotationsimproved45how completely this was documenteddepth15/40specificity20/30actionability10/3045 / 100
Kubernetes team annotations are now surfaced as container labels in Cloud, and Kubernetes agents now have FIPSFIPSA set of US federal standards published by NIST that define approved cryptographic algorithms and modules; cyber tools use it to meet compliance requirements in government and regulated environments. variants.
Sysdig Secure is a container security platform providing runtime monitoring, vulnerability scanning, and compliance enforcement for cloud-native applications.
Sysdig Secure's KSPMKSPMKubernetes Security Posture Management: a category of tooling that continuously audits Kubernetes clusters against configuration best practices and compliance policies to surface misconfigurations before attackers exploit them. Analyzer (v1.49.3) now automatically detects CNI plugins on Kubernetes nodes, enabling automated evaluation of a previously manual CISCISA nonprofit that publishes consensus-based configuration benchmarks and controls for hardening operating systems, cloud environments, and software; cyber tools use it as a ready-made compliance baseline. benchmark check.
└──▷ WHAT SHIPPED ·
1 FEATURE0 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Automatic CNI detection for CIS benchmark 5.3.1improved60how completely this was documenteddepth25/40specificity25/30actionability10/3060 / 100
KSPM Analyzer v1.49.3 adds automatic detection of Container Network Interface (CNI) plugins in use on each Kubernetes node, enabling CIS KubernetesCIS KubernetesHardening benchmarks published by the Center for Internet Security for Kubernetes clusters, giving cyber tools a concrete, versioned checklist of configuration checks to run and report against. Benchmark v2.0.0 recommendation 5.3.1 to be evaluated automatically instead of requiring manual attestation.
OpenShell is the safe, private runtime for autonomous AI agents.
OpenShell v0.0.104 focuses on developer experience and platform reach, adding a credential-leak warning for CLI environment flags, Windows build support, and a statically-linked supervisor option.
└──▷ WHAT SHIPPED ·
3 FEATURES0 OF 3 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Credential-leak warning on --env flagnew50how completely this was documenteddepth15/40specificity20/30actionability15/3050 / 100
The CLI now warns when values passed to --env look like credentials, helping catch accidental secret exposure at the command line.
Sophos Central is a cloud-based unified security management platform for protecting endpoints, servers, networks, and email across organizations.
Sophos Central adds an ML-derived Risk Score for identities in ITDRITDRIdentity Threat Detection and Response: a discipline focused on detecting and responding to attacks that abuse identity systems such as Active Directory or IAM platforms, giving cyber tools visibility into credential-based intrusions., a Generative AI category in DNS Protection, and finer-grained bulk licensing controls for partners.
└──▷ WHAT SHIPPED ·
1 FEATURE0 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Bulk add-on selection in partner licensingimproved35how completely this was documenteddepth15/40specificity10/30actionability10/3035 / 100
The partner portal now supports explicit selection of add-ons and products when applying bulk license changes to multiple monthly-usage customers simultaneously.
Huntress is a managed security platform that provides threat detection, incident response, and endpoint protection for small and mid-sized businesses.
Huntress shipped a new API for querying remote access connections, a monthly non-technical executive summary report, and an Early Access redesign of the ITDRITDRIdentity Threat Detection and Response: a discipline focused on detecting and responding to attacks that abuse identity systems such as Active Directory or IAM platforms, giving cyber tools visibility into credential-based intrusions. dashboard packed with new triage, login-classification, and SIEMSIEMSecurity information and event management, collecting logs from many systems and correlating events to find suspicious activity. Analysts use it to investigate alerts and incidents.-search panels.
└──▷ WHAT SHIPPED ·
4 FEATURES4 OF 4 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0101
Rapid Identity Triage panel in ITDR dashboardnew75how completely this was documenteddepth30/40specificity20/30actionability25/3075 / 100
The new Rapid Identity Triage panel lets you enter a user's email to get an immediate overview of all activity over the past 24 hours, with the ability to export a timeline, revoke sessions, or disable the account.
Quick SIEM Search panel for Entra logsnew75how completely this was documenteddepth30/40specificity25/30actionability20/3075 / 100
The new Quick SIEM Search panel inside the ITDR dashboard exposes pre-populated queries against Huntress-ingested Entra Unified Audit Log data, retained free for up to one year for all ITDR customers.
Failed Login Characterization viewnew60how completely this was documenteddepth25/40specificity20/30actionability15/3060 / 100
A new Failed Login Characterization view surfaces failed login attempts globally with classification by residential proxies, VPNsVPNsA virtual private network, an encrypted tunnel between devices or networks. It carries traffic across another network as though the endpoints had a private connection., and datacenters.
Automox is a cloud-based platform that automates patch management and security remediation across endpoints and servers.
Automox added a new device software status that flags when an installed update is waiting on an application restart to take effect.
└──▷ WHAT SHIPPED ·
1 FEATURE0 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Pending Application Restart software statusnew62how completely this was documenteddepth25/40specificity22/30actionability15/3062 / 100
A new Pending Application Restart status appears in the Device Details > Software Table Status column for Windows devices where a package was installed but the application has not yet restarted to finalize the update. Currently supported for Google Chrome, Microsoft Edge, and OBS Studio.
Trend Vision One is Trend Micro's unified cybersecurity platform providing threat intelligence, vulnerability management, and incident response across endpoints and networks.
Trend Vision One's Helm Chart 3.5.1 adds a field for explicitly setting a cluster's resource ID during automated registration.
└──▷ WHAT SHIPPED ·
1 FEATURE0 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Explicit cluster resource ID in Helm chartnew70how completely this was documenteddepth20/40specificity25/30actionability25/3070 / 100
The Helm chart values now include a visionOne.resourceId field to explicitly set the cluster resource ID, such as an AWS cluster ARN, during automated registration.
Cotool is an AI-powered code analysis and security tool that identifies vulnerabilities and provides automated fixes for software development.
Cotool v0.63.0 adds three new integrations (Barracuda, OX Security, Supabase), a Slack emoji-reaction agent trigger, and several administrative controls for GitHub App scoping, session length, and alert escalation.
└──▷ WHAT SHIPPED ·
5 FEATURES0 OF 5 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
New integrations for Barracuda, OX Security, Supabasenew55how completely this was documenteddepth20/40specificity25/30actionability10/3055 / 100
Adds a Barracuda email security integration for investigating and remediating email threats, an OX Security integration to search applications, artifacts, and SBOMsSBOMsA software bill of materials, an inventory of the components and versions inside an application. It helps teams find affected software when a dependency has a vulnerability or licensing issue. and investigate issues and attack pathsattack pathsA possible sequence of steps an attacker could take to reach a valuable target. It connects weaknesses, permissions and reachable systems rather than treating each finding separately., and a Supabase integration for organization and project security posture, configuration review, and project logs.
— Names three integrations and their scope, no setup steps givenv0.63.0
0200
Per-organization session length settingnew40how completely this was documenteddepth10/40specificity15/30actionability15/3040 / 100
Adds a per-organization session length setting in Settings.
— Names Settings location but no default or rangev0.63.0
0300
Slack emoji-reaction agent triggersnew35how completely this was documenteddepth15/40specificity10/30actionability10/3035 / 100
Adds Slack emoji-reaction triggers so reacting to a message can run an agent.
— Describes trigger mechanism but no configuration detailv0.63.0
0400
Minimum-severity filter for alert escalationsnew35how completely this was documenteddepth10/40specificity15/30actionability10/3035 / 100
Adds a minimum-severity filter for escalated alert notifications.
— Names filter but no threshold values or config pathv0.63.0
0500
Multi-organization GitHub App installation scopingnew25how completely this was documenteddepth10/40specificity10/30actionability5/3025 / 100
Splunk Security Content v6.4.0 adds 27 new detection analytics for Linux and Windows endpoint threats, refreshes threat-intel lookup files, and permanently removes eleven legacy detections while retiring the Onboarding Assistant beta.
└──▷ WHAT SHIPPED ·
5 FEATURES4 OF 5 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0101
Permanent removal of eleven legacy detectionsbreaking75how completely this was documenteddepth25/40specificity30/30actionability20/3075 / 100
The following detections are permanently removed: PowerShell - Connect To Internet With Hidden Window, Regsvr32 with Known Silent Switch Cmdline, Rundll32 CreateRemoteThread In Browser, Splunk App for Lookup File Editing RCE via User XSLT, Splunk Code Injection via custom dashboard leading to RCE, Splunk Enterprise KV Store Incorrect Authorization, Splunk Information Disclosure on Account Login, Splunk Path Traversal In Splunk App For Lookup File Edit, Splunk RCE PDFgen Render, Windows Process Injection Of Wermgr to Known Browser, and Windows Process Injection With Public Source Path. Users relying on any of these should review the deprecated analytics documentation and migrate to recommended replacements before upgrading.
— Names all removed detections and gives migration guidancev6.4.0
0202
Linux privilege-escalation, persistence and container abuse analyticsnew67how completely this was documenteddepth22/40specificity30/30actionability15/3067 / 100
Adds 23 new Linux detections: Linux Binary Executed from Shared Memory Directory, Linux EFI Bootloader File Deletion, Linux File Creation In System Generator Directory, Linux Ghostscript Exploitation, Linux MOTD Script Added, Linux Netcat Outbound Connection, Linux Possible Bootloader Modification, Linux Possible GSM Privilege Escalation, Linux Possible Nimbuspwn Privilege Escalation, Linux Possible Privilege Escalation via PYTHONPATH, Linux Possible System Binary Backdoor, Linux Root Execution of id, Linux Shell History Access Via Command Line Utility, Linux Shell Pseudo Device Reverse Shell, Linux Suspicious Child Process of PostgreSQL, Linux Suspicious Docker Build Command Execution, Linux Suspicious GCC Invocation Building Init Shared Object, Linux Suspicious Privileged Container Execution, Linux Suspicious Redis Activity, Linux Suspicious Staging of Alternate System Files, Linux Suspicious XDG Autostart, Linux UDEV Rule Created, and Linux Usermod Root UID Set, covering bootloader tampering, container and database abuse, reverse shells, and multiple privilege-escalation techniques.
— Names all 23 rules but no mechanism beyond brief purpose eachv6.4.0
0303
Windows recon and stealth-execution analyticsnew62how completely this was documenteddepth22/40specificity25/30actionability15/3062 / 100
Adds three Windows detections: Windows Dir Piped to Findstr Activity for directory-listing recon piped into Findstr, Windows Network Sniffing Tool Executed for known sniffing utility execution, and Windows Powershell Commands from DNS TXT for PowerShell commands retrieved via DNS TXTDNS TXTA DNS record type that stores arbitrary text strings in a domain's zone data, often used by cyber tools to exfiltrate data, verify domain ownership, or publish policy information like SPF and DMARC. record lookup.
— Names all three rules with brief detection purpose, no mechanism detailv6.4.0
thinner coverage below
0400
Refreshed attacker_tools and malware_user_agents lookupsimproved35how completely this was documenteddepth10/40specificity15/30actionability10/3035 / 100
Refreshes the attacker_tools and malware_user_agents lookup CSV files with updated content to improve detection and investigation context.
— Names the two lookup files but no detail on what changedv6.4.0
0504
Onboarding Assistant beta removed from ESCUbreaking33how completely this was documenteddepth18/40specificity10/30actionability5/3033 / 100
The Onboarding Assistant beta is removed from ESCU and is no longer available; it will be reintroduced in Detection Studio in a future release.
— States removal and future reintroduction but no migration stepsv6.4.0
└──▷ BREAKING ON UPGRADE
!
The Onboarding Assistant beta is removed from ESCU and is no longer available; it will be reintroduced in Detection Studio in a future release.
!
The following detections are permanently removed: PowerShell - Connect To Internet With Hidden Window, Regsvr32 with Known Silent Switch Cmdline, Rundll32 CreateRemoteThread In Browser, Splunk App for Lookup File Editing RCE via User XSLT, Splunk Code Injection via custom dashboard leading to RCE, Splunk Enterprise KV Store Incorrect Authorization, Splunk Information Disclosure on Account Login, Splunk Path Traversal In Splunk App For Lookup File Edit, Splunk RCE PDFgen Render, Windows Process Injection Of Wermgr to Known Browser, and Windows Process Injection With Public Source Path. Users relying on any of these detections should review the deprecated analytics documentation and migrate to recommended replacements before upgrading.
Security sensor for realtime threat detection and protection
Fibratus v3.1.0 adds kernel callstack-based detection, a smart event-filtering pipeline with approvers, 11 new detection rules, and an overhauled signature verification pipeline — while removing the malicious/vulnerable driver filter fields and rules.
└──▷ WHAT SHIPPED ·
6 FEATURES3 OF 6 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0101
11 new detection rules across attack techniquesnew70how completely this was documenteddepth25/40specificity30/30actionability15/3070 / 100
Adds 11 new detection rules covering lateral movementlateral movementMoving from an initially compromised system or identity to other resources in a network. Attackers often use stolen credentials or trusted connections to expand their access., defense evasion, credential access, and suspicious DLLDLLA Windows file format containing compiled code and data that multiple programs can load and share at runtime, letting cyber tools inject functionality into other processes or hook system calls.-loading techniques: 'Untrusted DLL loaded from masqueraded Windows directory', Suspicious LSASS process access, 'Potential privilege elevation via arbitrary section creation', 'CldApi DLL loaded by an unusual process', 'BindFlt DLL loaded by an unusual process', Direct disk device access, Suspicious registry symbolic link creation, Activation Context memory section hijacking, Untrusted DLL loaded from unusual directory, Sensitive registry hive dump, and Potential operation evasion via direct syscall.
— Names all 11 rules verbatim but no config path given.v3.1.0
0200
Kernel thread callstack summary filter fieldnew67how completely this was documenteddepth30/40specificity22/30actionability15/3067 / 100
A new kernel thread callstack summary filter field resolves kernel return addresses to their corresponding driver modules and stitches callstack data to events via timestamps, enabling more reliable callstack-based filtering and detection.
— Names mechanism and purpose but no exact field name given.v3.1.0
thinner coverage below
0302
Smart event filtering with approversnew50how completely this was documenteddepth25/40specificity15/30actionability10/3050 / 100
Smart event filtering with approvers dynamically evaluates and discards events before they propagate through the full processing pipeline, substantially reducing processing volume while preserving detection-relevant events.
— Explains behaviour but no config key or flag named.v3.1.0
0400
Digital signature verification pipeline overhaulimproved48how completely this was documenteddepth25/40specificity15/30actionability8/3048 / 100
Overhauled the digital signature verification pipeline with improved async verification, better cache keying, eager metadata-store initialization, and more robust handling of freshly added signatures.
— Describes mechanism changes but no configurable surface named.v3.1.0
0500
Filtering and approver pipeline performance improvementsimproved40how completely this was documenteddepth20/40specificity15/30actionability5/3040 / 100
Delivers filtering and approver pipeline performance improvements including pattern precompilation, path string interning, object pooling, cached filter values, and more efficient wildcard matching.
— Lists mechanisms but no measurable numbers or flags.v3.1.0
0603
Removal of malicious/vulnerable driver filter fieldsbreaking30how completely this was documenteddepth15/40specificity10/30actionability5/3030 / 100
Malicious/vulnerable driver filter fields have been removed, along with their associated detection rules, as a breaking change in this release.
— States removal but no migration guidance or field names.v3.1.0
└──▷ BREAKING ON UPGRADE
!
Malicious/vulnerable driver filter fields have been removed, along with their associated detection rules.
OpenCTI 7.260811.0 adds support for bulk-updating relationship timestamps through background tasks.
└──▷ WHAT SHIPPED ·
1 FEATURE0 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Mass update of relation start/stop timesnew40how completely this was documenteddepth15/40specificity15/30actionability10/3040 / 100
Background mass-operation tasks can now bulk update the start_time and stop_time fields on relations, rather than requiring per-relation edits.
— Names fields and mechanism but no usage example or limits.7.260811.0
The easiest, most secure way to use WireGuard and 2FA.
Tailscale's Kubernetes operator gains in-cluster PeerRelays, Helm annotation support and IPv6IPv6The current version of the Internet Protocol, standardized by the IETF, using 128-bit addresses to replace the exhausted IPv4 space. Cyber tools target it because modern networks run dual-stack or IPv6-only. egress on dual-stack clusters, alongside proxy timeout, MTU and metrics fixes.
└──▷ WHAT SHIPPED ·
5 FEATURES0 OF 5 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Cert issuance timeout raised in Kubernetes proxiesimproved55how completely this was documenteddepth25/40specificity20/30actionability10/3055 / 100
The per-attempt cert issuance timeout in Kubernetes proxies is increased to 30 minutes, giving ACMEACMEAn IETF-standard protocol (RFC 8555) for automating TLS certificate issuance and renewal, letting cyber tools manage certificates without manual CA interaction. challenges more time to complete under load.
IPv6 egress on dual-stack clustersnew25how completely this was documenteddepth10/40specificity10/30actionability5/3025 / 100
The Tailscale operator now supports IPv6 egress on dual-stack clusters, per the release summary; no further mechanism or configuration detail is provided.
Ory is an open-source identity and access management platform providing authentication, authorization, and user management services.
Ory Network now lets workspace owners verify organization SSOSSOSingle sign-on, using one identity provider to sign in to multiple applications. It reduces separate passwords and centralizes account and access management. email domains via DNS-TXT record, replacing manual verification.
└──▷ WHAT SHIPPED ·
1 FEATURE0 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
DNS-TXT verification for SSO email domainsimproved50how completely this was documenteddepth20/40specificity15/30actionability15/3050 / 100
Workspace owners can verify their organization's SSO email domains using a DNS-TXT record, replacing the previous manual verification workflow.
JumpCloud is a cloud-based directory platform that manages user identities, devices, and access across IT infrastructure.
JumpCloud Agent 2.153.5 adds policy-based control over the Self Service App Catalog and reworks the macOS menu bar app's password reset and enrollment experience.
└──▷ WHAT SHIPPED ·
2 FEATURES0 OF 2 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
macOS menu bar password reset and enrollment UXimproved50how completely this was documenteddepth25/40specificity15/30actionability10/3050 / 100
The macOS menu bar app now simultaneously displays password reset and MDMMDMMobile device management, centrally configuring and managing enrolled devices. Administrators use it to apply settings, distribute applications and enforce device security policies. enrollment actions when both are pending so users complete all required device setup steps, keeps password status constantly visible with a more accessible Reset Password action, and lets users edit TOTPTOTPA one-time password algorithm (RFC 6238) that generates short-lived codes from a shared secret and the current time, giving cyber tools phishing-resistant second-factor authentication without a server round-trip.MFAMFAMulti-factor authentication, requiring proof from different categories, such as a password and a hardware key, to sign in. It reduces reliance on a password alone. digits in any order during a macOS password reset for more reliable code entry.
Policy-controlled Self Service App Catalognew45how completely this was documenteddepth20/40specificity15/30actionability10/3045 / 100
Administrators can now control Self Service App Catalog availability via policy, with the tray app reflecting the policy state to determine whether users see targeted software access.
DigiCert CertCentral is a platform for managing SSL/TLS certificates, automating issuance, renewal, and deployment across organizations.
CertCentral adds a Use CN/SANs from CSR option that overwrites Common name and SAN fields with values parsed from an uploaded CSRCSRA Certificate Signing Request is a block of encoded data submitted to a certificate authority, containing a public key and identity details, so the CA can issue a signed TLS certificate without ever seeing the private key., with an undo option.
└──▷ WHAT SHIPPED ·
1 FEATURE0 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Use CN/SANs from CSR on request formsnew75how completely this was documenteddepth30/40specificity25/30actionability20/3075 / 100
A new Use CN/SANs from CSR option on certificate request forms overwrites the existing Common name and SANs fields with values parsed directly from the uploaded CSR, and includes an Undo option to restore the previous values. It is available on DV, OV, and EV TLS; QWAC and QWAC PSD2; X9 PKIPKIA framework of policies, roles, and cryptographic standards for issuing and managing digital certificates that bind public keys to identities, letting tools verify authenticity and encrypt communications without pre-shared secrets. for TLS; and Private TLS request forms.
— Names exact option, undo behavior, and applicable form types.August 11, 2026
Conveyor is a tool that packages Java applications into native installers for Windows, macOS, and Linux with automatic updates.
Conveyor sharpened its questionnaire workflow with AI-driven SME routing for all questionnaire types, added a SharePoint knowledge base integration, and made portals auto-export answers once auto-complete rules pass.
└──▷ WHAT SHIPPED ·
3 FEATURES0 OF 3 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
AI SME group auto-assignment for all questionnaire typesimproved73how completely this was documenteddepth28/40specificity25/30actionability20/3073 / 100
The Assign the suggested group automatically setting in Settings > Workflow Automation > Team Routing now covers all questionnaire types, not just intake questionnaires — unanswered or flagged questions are automatically routed to the matched SME group (e.g. Legal, Product) and that group is notified. This automatic routing now also works for questionnaires arriving via Salesforce, Slack, or direct team submission.
Enable automatic SME routing for all incoming questionnaires so no question stalls waiting for manual triage.
📍In the Conveyor console, go to Settings › Workflow Automation › Team Routing, configure your SME groups, then enable Assign the suggested group automatically.
Portal auto-export on auto-complete rule matchimproved70how completely this was documenteddepth20/40specificity28/30actionability22/3070 / 100
Portal questionnaires that pass auto-complete criteria now automatically export answers back into the portal, eliminating the manual Export step. This is enabled via Check auto-complete rules under Post answering in Settings > Sales Self-Serve > Automation Rules.
SharePoint sync for knowledge basenew60how completely this was documenteddepth25/40specificity20/30actionability15/3060 / 100
Microsoft SharePoint is now a knowledge base integration, syncing documents and folders into Conveyor the same way Google Drive already does — including automatic ingestion of new files and nested subfolders for folder-level syncs. ConveyorAI answers draw from the live SharePoint version of a policy document rather than a stale exported copy, keeping compliance responses current without manual re-uploads.
Connect SharePoint so updated compliance policies are automatically reflected in ConveyorAI answers.
📍In Conveyor, go to Integration Settings › Add Integration › SharePoint, then choose a folder to sync — new files added to that folder (including nested subfolders) will be pulled in automatically.
Kiro's headline addition is Cloud Sessions (preview), letting both the CLI and the IDE's Agent Focus Mode run agent sessions in a managed cloud sandbox with repo attachment and cross-machine resume. Alongside that, Agent Focus Mode gained a collapsible rail, in-place attention cards and titlebar navigation shortcuts, while the CLI picked up substring command matching and smoother keystroke handling.
└──▷ WHAT SHIPPED ·
5 FEATURES1 OF 5 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0101
Cloud Sessions across CLI and IDEnew95how completely this was documenteddepth35/40specificity30/30actionability30/3095 / 100
Cloud Sessions (preview) run agent sessions in a managed cloud sandbox instead of locally. In the CLI, kiro-cli chat --cloud starts one, --repo (or the /repo picker) attaches a repository, and --resume-id reconnects to a running cloud session from any machine after disconnecting; cloud and local sessions now appear together in the session picker. In the IDE, Agent Focus Mode gains the same capability: start a cloud-hosted session alongside local ones, choose the repositories it runs against, and keep those repositories visible below the chat using the same agent and model selectors as local sessions.
Start a cloud session attached to a repo, then resume it later from a different machine without losing agent progress.
$ kiro-cli chat --cloud--repo <your-repo>
# later, from any machine:
kiro-cli chat --resume-id <session-id>
Agent Focus Mode session rail and navigationimproved70how completely this was documenteddepth28/40specificity22/30actionability20/3070 / 100
The Agent Focus Mode sessions rail can be collapsed to an icon-only strip to reclaim chat space while every session stays one click away. New in-place attention cards surface next to the chat when a session needs input, showing the agent's question and options as buttons without forcing a session switch. Back/forward navigation across sessions and settings from the titlebar is added via Cmd/Ctrl+[ and Cmd/Ctrl+].
Smoother TUI input during rapid keystrokesimproved14how completely this was documenteddepth8/40specificity3/30actionability3/3014 / 100
TUITUIA text-based user interface that runs inside a terminal, using characters and ANSI escape codes to render menus, panes, and widgets without a graphical desktop, letting cyber tools ship rich interactivity with no GUI dependency. input handling is smoother during rapid keystrokes.
An open-source AI agent that brings the power of Gemini directly into your terminal.
Gemini CLI's headline addition is experimental model steering, letting users inject real-time guidance into a running agent without restarting it; alongside that, v0.55.1 quietly shipped a Cloud RunCloud RunGoogle's managed container runtime that executes stateless workloads on demand, scaling to zero when idle, so tools can deploy without managing servers or paying for idle capacity.-based caretaker triage pipeline, a separate PR-generator agent, an eval coverage report command, and automatic tool registry discovery.
└──▷ WHAT SHIPPED ·
5 FEATURES0 OF 5 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Experimental model steering for running agentsnew93how completely this was documenteddepth35/40specificity28/30actionability30/3093 / 100
Adds an experimental.modelSteering key to settings.json (disabled by default) that lets practitioners type free-text hints while the agent spinner is active — correcting paths, skipping steps, adding context, or redirecting effort — without stopping the session. The same toggle is reachable via the /settings command's Model Steering entry instead of editing the file directly. Steering hints trigger a two-phase response: a fast small-model acknowledgment confirming receipt, then context injection at the agent's next turn with plan re-evaluation and minimal-diff task updates.
Enable model steering once in your settings file so all future long-running agent sessions accept mid-task hints.
json
{
"experimental": {
"modelSteering": true
}
}
While the agent is refactoring code and heads down the wrong path, steer it without restarting the task.
📍/settings
# Search for Model Steering, set to true
# Then start your task:
# › Refactor the database service
# (spinner visible) type:
# Actually, the utilities are in src/common/utils.
# Press Enter — CLI acknowledges and injects the hint into the next turn.
— Names exact config key, command, and injection mechanism with runnable examples.product docs
0200
Caretaker agent triage pipelinenew66how completely this was documenteddepth30/40specificity28/30actionability8/3066 / 100
Ships a Cloud Run webhook ingestion service for automated GitHub issue intake, a caretaker triage Cloud Run job workflow with an LLMLLMA large language model, a neural network trained on large amounts of text to recognize patterns and generate language. Applications use it for tasks such as answering, summarizing and writing code.-driven orchestrator, prompt hill-climbing, and automatic pre-close commenting, plus a caretaker evaluation framework with a judge runner, local golden issue collection, and Firestore sync tools for offline triage quality measurement. Also adds issue comment handling and re-triage in the ingestion pipeline, publishing of workable spec events to a ready-for-code Pub/Sub topic, a GCP deployment script for the caretaker services, and a Firestore schema update adding error and pr_number fields for triage tracking.
— Names every pipeline surface but is internal infra, not user-actionable.v0.55.1
thinner coverage below
0300
PR-generator agentnew52how completely this was documenteddepth25/40specificity22/30actionability5/3052 / 100
Implements a PR-generator agent with an Antigravity runner, an iterative bug-fixing state machine, a Cloud Run job, Firestore dual-locking, and Workflows infrastructure.
— Named components listed but no usage path for end users.v0.55.1
0400
Eval coverage report commandnew35how completely this was documenteddepth15/40specificity10/30actionability10/3035 / 100
Adds an eval coverage report command for measuring evaluation coverage across the codebase.
— Names the command's purpose but no exact invocation.v0.55.1
0500
Tool registry discoverynew35how completely this was documenteddepth15/40specificity10/30actionability10/3035 / 100
Adds tool registry discovery, enabling the CLI to find and enumerate registered tools automatically.
— States capability but no mechanism or usage detail given.v0.55.1
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
Claude Code v2.1.228 focuses on hardening synced skills against local privilege escalationprivilege escalationGaining permissions beyond those an account or process initially had. It can turn limited access into administrator control or access to another user's resources., aligning file-write permissions across tools, and polishing session messaging, Vertex AI auth, and compaction feedback.
└──▷ WHAT SHIPPED ·
5 FEATURES1 OF 5 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0101
Security hardening for claude.ai-synced skillsbreaking65how completely this was documenteddepth30/40specificity25/30actionability10/3065 / 100
Skills synced from claude.ai no longer shadow local commands or MCPMCPModel Context Protocol, a standard for connecting AI applications to external tools and data sources. A compatible server exposes capabilities an assistant can use through a common interface. prompts, their descriptions are sanitized and labeled, and skill bodies can no longer run ! commands or expand @ files on your machine.
— Names mechanism and restrictions but no migration steps given.v2.1.228
thinner coverage below
0200
Write tool overwrite rule aligned with Edit toolimproved50how completely this was documenteddepth25/40specificity15/30actionability10/3050 / 100
Newer models can now overwrite an existing file they have not read in the current session, matching the Edit tool's existing rules; older models still require a prior read before overwriting.
— Clear behavior change but no config or flag to invoke it.v2.1.228
0300
Cross-session message display improvementsimproved45how completely this was documenteddepth20/40specificity15/30actionability10/3045 / 100
Sender and body of cross-session messages now display inline instead of as a collapsed line, and messages to Remote Control sessions on other machines show your Remote Control session name as the sender.
— Describes UI change but no exact navigation path given.v2.1.228
0400
Faster Vertex AI credential failure detectionimproved40how completely this was documenteddepth20/40specificity15/30actionability5/3040 / 100
Expired or missing Google Cloud credentials for Vertex AI now fail within seconds instead of retrying for minutes.
— States before/after timing but no reproduction steps.v2.1.228
0500
Compaction progress feedback improvementsimproved30how completely this was documenteddepth15/40specificity10/30actionability5/3030 / 100
The retry countdown and stall hint now appear during compaction alongside the existing progress bar.
— Minor UI addition described briefly without further detail.v2.1.228
Autonomous coding agent as an SDK, IDE extension, or CLI assistant.
Cline's CLI and SDK releases both add Fable 5 to the Vertex model catalog and fix custom Vertex model ID routing, while the SDK also removes a hardcoded token cap from its summarizer.
└──▷ WHAT SHIPPED ·
3 FEATURES0 OF 3 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Configurable max output tokens in summarizerimproved73how completely this was documenteddepth30/40specificity25/30actionability18/3073 / 100
The summarizer now honors an explicit max-output-tokens setting, defaulting to 4096 and lowered when the model reports less capacity, replacing a previously hardcoded 1024-token cap. This enables compaction to work correctly on reasoning models.
— Names config key and default/prior values, no set command shownsdk/sdk/v0.0.73
thinner coverage below
0200
Fable 5 added to Vertex model catalognew52how completely this was documenteddepth22/40specificity20/30actionability10/3052 / 100
Adds claude-fable-5 (Fable 5) to the Vertex model catalog. Because Vertex billing is region-dependent, its cost displays as unknown rather than a wrong fixed price.
Custom Vertex model ID routing fixedimproved50how completely this was documenteddepth22/40specificity18/30actionability10/3050 / 100
Custom Vertex model IDs are now passed through unchanged, routing Claude-style IDs to the Anthropic-on-Vertex path automatically instead of being mishandled.
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Goose v1.46.0 ships a Hooks framework with PreToolUse denial, a new goose review command, 25+ new LLMLLMA large language model, a neural network trained on large amounts of text to recognize patterns and generate language. Applications use it for tasks such as answering, summarizing and writing code. providers and dozens of new models, plus broad environment-variable configurability, OAuth improvements, and a wave of CLI, desktop, and TUITUIA text-based user interface that runs inside a terminal, using characters and ANSI escape codes to render menus, panes, and widgets without a graphical desktop, letting cyber tools ship rich interactivity with no GUI dependency. enhancements.
└──▷ WHAT SHIPPED ·
21 FEATURES0 OF 21 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
New environment variables for configurationnew75how completely this was documenteddepth25/40specificity30/30actionability20/3075 / 100
Adds LOCAL_WHISPER_LANGUAGE to set the language for multilingual local voice transcription, GOOSE_MAX_TOOL_RESPONSE_SIZE to cap tool output size returned to the agent, MAX_CODE_BLOCK_LINES to limit lines rendered in code blocks, GOOSE_FAST_MODEL (consumed by ModelConfig::with_fast) to designate a fast model for lightweight tasks, GOOSE_DOCS_ROOT to redirect documentation lookups for air-gapped deployments, GOOSE_OAUTH_CALLBACK_PORT to pin a stable OAuth redirect_uri port across sessions, and AZURE_OPENAI_AD_TOKEN to support Azure AD (Entra IDEntra IDMicrosoft's cloud-based identity and access management service, formerly Azure Active Directory, used by cyber tools to authenticate users and enforce access policies in Microsoft 365 and Azure environments.) bearer-token authentication for the Azure OpenAI provider.
Pin a stable OAuth callback port so OAuth redirect URIs stay consistent across restarts, useful in environments with strict firewall rules.
$ GOOSE_OAUTH_CALLBACK_PORT=9876 goose session
Set the transcription language for local Whisper so voice input is recognized correctly without auto-detection overhead.
$ LOCAL_WHISPER_LANGUAGE=fr goose session
— Lists env vars with two runnable examples, not all covered.v1.46.0
0200
New session CLI commands and flagsnew75how completely this was documenteddepth25/40specificity30/30actionability20/3075 / 100
Adds --edit flag to the session command to edit conversation history before forking a session, /goal slash command for agent self-evaluation before a session concludes, /status slash command to report current session state, /model slash command to switch the active model mid-session, tab completion and provider switching in the model command, a CLI command to list available skills with their token counts, and automatic loading of global agent hints from ~/.agents/AGENTS.md each session. Also adds Markdown as a format option for session export.
— Names exact flags and commands; no full syntax examples.v1.46.0
0300
`goose review` command for local code reviewnew70how completely this was documenteddepth20/40specificity20/30actionability30/3070 / 100
Adds goose review, a CLI command for running local code review workflows against the working directory, delegating checks via the default orchestrator.
Run a local code review against the current working directory, delegating checks via the default orchestrator.
Desktop and TUI interface improvementsnew70how completely this was documenteddepth25/40specificity30/30actionability15/3070 / 100
Surfaces per-message token count, cost, time-to-first-tokentime-to-first-tokenTime to first token, the wait between submitting a request and receiving the first generated token. It includes delays such as queuing and processing the prompt. (TTFTTTFTTime to first token, the wait between submitting a request and receiving the first generated token. It includes delays such as queuing and processing the prompt.), and tokens-per-second stats in the UI, and tracks cache tokens separately for accurate cost reporting. Streams shell command output to the UI in real time as commands execute. Adds a resizable sidebar with a drag handle and persisted width, chat history search in the navigation panel, a search filter in the provider selection grid, and a TUI diff viewer. Adds desktop localizations for French, German, Italian, Portuguese, Indonesian, Malay, Vietnamese, zh-TW, Korean, Spanish, Japanese, Hindi, Russian, Turkish, and Simplified Chinese (zh-CN), plus language selection in the UI.
— Many UI features named but only navigation paths, no commands.v1.46.0
0500
25+ new LLM provider integrationsnew65how completely this was documenteddepth20/40specificity30/30actionability15/3065 / 100
Adds support for Celeris, Friendli, Azure AI Foundry (multi-LLM), OllamaCloud (dynamic model discovery), Sakana AI (Fugu API), iFlytek Spark, Astron MaaS, Fireworks AI, Together AI, OrcaRouter, Perplexity, Alibaba/Qwen (DashScope), Databricks AI Gateway, Scaleway, NEAR AI Cloud, EmpirioLabs, xAI SuperGrok (OAuth subscription), Vercel AI Gateway, Routstr, FuturMix, oMLX, Atomic Chat, and Muse Spark 1.1 (Meta Models API), plus AWS Bedrock support for OpenAI GPT models via the mantle endpoint and support for OpenRouterOpenRouterA unified API gateway that routes requests to dozens of LLM providers under one endpoint, letting cyber tools swap or compare models without rewriting provider-specific integration code. request parameters.
— Names 25+ providers but no setup steps given.v1.46.0
0600
OAuth authentication improvementsnew65how completely this was documenteddepth25/40specificity25/30actionability15/3065 / 100
Adds Hugging Face OAuth support with a dedicated auth tab in settings, adds proactive OAuth token refresh to avoid re-authentication on every session, and adds a logo_uri field to OAuth client ID metadata documents (CIMDCIMDA text-based Short Message Service protocol from Nokia for exchanging SMS messages between applications and SMS centers, used to build tools that send, receive, or test carrier messaging flows.) so authorization servers can display the goose logo on consent screens.
— Names logo_uri field and settings tab but no full flow.v1.46.0
0700
ACP protocol session and transport enhancementsnew65how completely this was documenteddepth20/40specificity25/30actionability20/3065 / 100
Adds _meta.hidden field to the ACP session/new request to create hidden (background) sessions, and adds TLS support for acp serve.
— Names exact field and command; no further usage shown.v1.46.0
0800
goose:// deep links for sessionsnew65how completely this was documenteddepth20/40specificity25/30actionability20/3065 / 100
Adds goose://new-session and goose://resume deep links, including support for an initial prompt via goose://new-session.
— Named URI schemes; no host app integration detail.v1.46.0
0900
Hooks framework with PreToolUse denialnew60how completely this was documenteddepth25/40specificity20/30actionability15/3060 / 100
Adds a Hooks framework with PreToolUse denial, letting operators intercept and block tool calls before execution to enforce policy on sensitive operations.
Block a specific tool from executing during a session by wiring a PreToolUse hook that denies it — useful for enforcing policy on sensitive operations.
`goose project` command removedbreaking60how completely this was documenteddepth20/40specificity20/30actionability20/3060 / 100
The goose project command (and its p alias) has been removed; CLI project support is no longer available.
— States removal clearly with alias, no migration path given.v1.46.0
thinner coverage below
1200
New model support across providersnew55how completely this was documenteddepth15/40specificity30/30actionability10/3055 / 100
Adds support for GPT-5.6, GPT-5.5, GLM-5.2, Opus5 (with adaptive thinking), claude-sonnet-5, claude-fable-5, Cursor composer-2.5, Cursor-agent (fetched from CLI), latest Gemini models, Gemini 3.x, MiniMax-M3/M2.7, and OVHcloud Qwen3.6-27B.
— Lists model names only, no selection instructions.v1.46.0
1300
Cross-language SDK bindings via UniFFInew55how completely this was documenteddepth20/40specificity25/30actionability10/3055 / 100
Adds a UniFFI SDK for cross-language bindings, Python wheel publishing, and Kotlin FFI with Maven publish.
— Names packaging targets, no install instructions.v1.46.0
1400
Image support in sessionsnew50how completely this was documenteddepth20/40specificity20/30actionability10/3050 / 100
Adds an image read tool for ingesting images directly in sessions, and forwards images and MCPMCPModel Context Protocol, a standard for connecting AI applications to external tools and data sources. A compatible server exposes capabilities an assistant can use through a common interface. embedded-resource blobs in Anthropic and Google provider formats.
— Describes capability, no tool name syntax shown.v1.46.0
1500
Local inference provider expansionnew45how completely this was documenteddepth15/40specificity20/30actionability10/3045 / 100
Supports MLXMLXApple's machine-learning framework for Apple silicon, which uses the unified memory shared by CPU and GPU to run and fine-tune models on a Mac. models in the local inference provider and adds Linux Vulkan support for local inference.
— States support added, no configuration details.v1.46.0
1600
Trusted ownership metadata for MCP appsnew45how completely this was documenteddepth20/40specificity15/30actionability10/3045 / 100
Binds MCP apps to trusted ownership metadata to restrict which extensions can be loaded.
— Mechanism named but no config surface given.v1.46.0
1700
GenAI semantic conventions in OpenTelemetry spansnew45how completely this was documenteddepth15/40specificity20/30actionability10/3045 / 100
Emits GenAI semantic convention attributes in OpenTelemetryOpenTelemetryAn open standard and set of tools for collecting traces, metrics and logs from applications. It lets services export observability data without tying instrumentation to one monitoring vendor. (OTELOTELAn open standard and set of tools for collecting traces, metrics and logs from applications. It lets services export observability data without tying instrumentation to one monitoring vendor.) spans.
— Names standard, no setup or exporter detail.v1.46.0
1800
Termux detection in installernew40how completely this was documenteddepth15/40specificity15/30actionability10/3040 / 100
Adds Termux detection in the installer to automatically select the musl portable build.
— Explains behavior but no manual override option given.v1.46.0
1900
Encrypted Nostr session sharing and importnew40how completely this was documenteddepth15/40specificity15/30actionability10/3040 / 100
Adds encrypted Nostr session sharing and session import.
— Names protocol, no encryption or import mechanics detail.v1.46.0
2000
Quarterly recurrence in session schedulernew30how completely this was documenteddepth10/40specificity10/30actionability10/3030 / 100
Adds a quarterly recurrence option to the session scheduler.
— One-line addition with no further detail.v1.46.0
2100
Structured summary output for context compactionnew30how completely this was documenteddepth15/40specificity10/30actionability5/3030 / 100
Adds structured summary output with template rendering for context compactioncontext compactionCondensing an AI conversation or working history to free space in the model's context window. A summary preserves useful information, but details can be lost..
— Thin description, no template syntax or config shown.v1.46.0
└──▷ BREAKING ON UPGRADE
!
The goose project command (and its p alias) has been removed; CLI project support is no longer available.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
CrewAI 1.15.15 extends flow telemetry to capture outcome, duration and human-in-the-loophuman-in-the-loopHuman in the loop, involving a person in an otherwise automated workflow. The person can review, approve, correct or supply information before work continues. signals.
└──▷ WHAT SHIPPED ·
1 FEATURE0 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Flow outcome and HITL telemetry reportingimproved30how completely this was documenteddepth15/40specificity10/30actionability5/3030 / 100
Flow telemetry now reports flow outcome, duration, and human-in-the-loop signals.
— Names data reported but no mechanism or config surface.1.15.15
NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
OO Agents v0.0.7 is a security-hardening release across the playground, viewer API, ShellTools and CodeAct, paired with a new NOOA cybergym agent example and official PyPI distribution.
└──▷ WHAT SHIPPED ·
6 FEATURES0 OF 6 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
PyPI distribution via Trusted Publishingnew75how completely this was documenteddepth20/40specificity25/30actionability30/3075 / 100
The package is now published to PyPI via Trusted Publishing on GitHub Releases, enabling pip install nooa or uv add nooa installs from official releases.
AST decoder replaces eval() in CodeActimproved60how completely this was documenteddepth30/40specificity20/30actionability10/3060 / 100
The CodeAct constructor-string coercion path no longer uses eval(); it now uses an ASTASTAn abstract syntax tree, a structured representation of parsed code. Tools inspect or transform this tree to understand expressions and statements rather than just matching text. decoder, removing arbitrary code execution from that code path.
— Names the exact fix and mechanism, no migration steps given.v0.0.7
thinner coverage below
0300
Resource limits and auth on trace-viewer APIimproved55how completely this was documenteddepth25/40specificity20/30actionability10/3055 / 100
The trace-viewer's viewer ingest path now has resource limits to cap memory and request size, and the viewer API requires an auth token and restricts CORSCORSA browser mechanism that lets a server declare which foreign origins may read its HTTP responses, enforced by the browser to block unauthorized cross-site requests from JavaScript., narrowing the attack surfaceattack surfaceThe exposed systems, interfaces and access points an attacker could try to use. It includes internet-facing services as well as identities, software and other reachable resources. of the local trace viewer.
— Describes mechanism but no exact endpoint or flag names.v0.0.7
0400
Server-declared endpoint allowlist for playground modelsimproved45how completely this was documenteddepth20/40specificity15/30actionability10/3045 / 100
The playground custom-model endpoint and api_key_env are now constrained to server-declared pairs, preventing clients from supplying arbitrary LLMLLMA large language model, a neural network trained on large amounts of text to recognize patterns and generate language. Applications use it for tasks such as answering, summarizing and writing code. endpoints.
— Names the config field but no exact endpoint path.v0.0.7
0500
ShellTools confined to working directoryimproved45how completely this was documenteddepth20/40specificity15/30actionability10/3045 / 100
ShellTools file operations are now confined within the current working directory, limiting the filesystem surface available to agent-executed shell commands.
— States the restriction, no configuration detail given.v0.0.7
0600
NOOA cybergym agent examplenew45how completely this was documenteddepth15/40specificity15/30actionability15/3045 / 100
Adds a NOOA cybergym agent example under examples/ demonstrating a cybersecurity-oriented agent built on the OO Agents framework.
— Names the example path but no further detail on its behaviour.v0.0.7
Hugging Face is a platform providing pre-trained machine learning models, datasets, and tools for natural language processing and computer vision.
Hugging Face introduced granular, per-resource-group feature access controls, moving beyond a single org-wide role setting.
└──▷ WHAT SHIPPED ·
1 FEATURE0 OF 1 FEATUREmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Per-resource-group feature access controlsnew55how completely this was documenteddepth25/40specificity18/30actionability12/3055 / 100
Organizations can now scope feature access controls to individual resource groups rather than applying a single org-wide role. For example, Jobs can be left open to all members while Inference Endpoints are restricted to admins and blog publishing is limited to a specific resource group.
Daytona is a development environment platform that enables standardized, reproducible coding spaces for teams and AI agents.
Daytona 0.204.0 and 0.200.0 add snapshot management by name, outbound proxy configuration for sandboxes, typed git transport errors, and a round of security hardening covering TLS enforcement, CLI config file permissions, and configurable SDK timeouts.
└──▷ WHAT SHIPPED ·
6 FEATURES0 OF 6 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
Snapshot management by name and filteringimproved55how completely this was documenteddepth20/40specificity20/30actionability15/3055 / 100
Adds support for snapshot delete and activate operations by ID or name across the SDK and CLI, and adds a sourceSandboxId filter parameter to the snapshot list SDK call.
bpf-linker v0.11.0 adds support for targeting BPF CPUCPUThe main general-purpose processor in a computer. It runs application instructions and coordinates work with memory and other hardware. v4 and disabling specific CPU features, alongside an upgrade to the LLVM 23 backend.
└──▷ WHAT SHIPPED ·
2 FEATURES0 OF 2 FEATURESmost completely described firstwhat's the number?
Each feature carries 0–100 for how completely the vendor documented
it — not how big or important the work is. A major capability
described in eight words scores low, and that is the finding.
depth0–40what it does and how it works or what changed
specificity0–30names real surfaces — APIs, flags, formats, limits, numbers
actionability0–30enough to go use it — a named endpoint, flag, or config key tops this; a UI path is a starting point
Code and config rank first by construction: a documented endpoint,
flag or config key scores at the top of specificity and actionability,
so it sorts above a feature described only in prose. Under
60 the notes go thin — everything below the “thinner
coverage” line is thinner documentation, not smaller work.
Hover any meter for that feature's three sub-scores.
0100
CPU targeting flags: v4 and negative featuresnew70how completely this was documenteddepth20/40specificity25/30actionability25/3070 / 100
--cpu now accepts v4 as a valid value to target BPF CPU v4 processors, and --cpu-features has been extended to accept disabled features using the -feature prefix (e.g. --cpu-features=-dwarfris), in addition to the existing +feature enable syntax.
Target a modern kernel with BPF CPU v4 and selectively disable a CPU feature in a single build.