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Mitiga

Helios AIDR: Why Cloud Security Needs Intelligent Automation Now (2026-08-19) commercial

Mitiga is a cloud security platform that detects and responds to threats in AWS, Azure, and GCP environments.

Summary

Mitiga is a commercial cloud-incident-response cyber tool that performs real-time triage across multi-cloud and SaaSSaaSSoftware delivered over the internet and run on the provider's infrastructure, so the buyer pays a subscription instead of installing or operating anything locally. environments. It is available as a service and is intended for internal IR and SOCSOCA security operations center, the team or function that monitors threats, investigates alerts and coordinates incident response. Its work can be internal, outsourced or shared. teams. The documentation positions it alongside platforms that manage incident scope, and the system provides automated attacker timelines and generates narrative summaries from forensic events. Having launched in 2019, it has seen 20 releases in the tracked period, with the last one appearing 17 days ago.

Mitiga is a cloud security platform that detects and responds to threats in AWS, Azure, and GCP environments.

How Mitiga helps

Is this alert a real threat or routine cloud activity?

runs contextual triage tests against the lead automatically, adjusts its risk score, and separates it from noise without an analyst having to dig through logs first

What did an attacker actually do across our cloud and SaaS accounts during this incident?

assembles the forensic events into an attacker timeline spanning AWS, GCP, Azure, Microsoft 365, Okta and other SaaS apps, showing the order of actions and the evidence behind each one

Where did a suspicious identity go after the initial compromise?

connects identity activity across cloud and SaaS platforms and surfaces the leads and forensic evidence tying the actions together, with the confidence reasoning behind each verdict

Did that phishing email lead to any real damage?

tracks post-phishing user activity such as file downloads or mailbox access and lays it out as a timeline so scope can be judged without manually pulling logs from each service

Do we need to escalate this incident to outside help or handle it ourselves?

lays out the incident's materiality from the assembled evidence so the call between in-house containment and external escalation can be made fast enough to meet short disclosure deadlines

How do I find what I'm looking for in all these cloud logs without knowing the schema?

lets the question be typed in plain English against the cloud security data lake and returns matching log entries with no query syntax required

all 8 features, with the evidence for each →

Languages

Not documented

Features

8 capabilities

Built from Mitiga's releases, docs, README and our own runs. “Seen” marks the month we first spotted a release the vendor didn't date. Group names and tags are our labels.

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  • Mitiga covers 1 of the 8 investigation and response capabilities we track.

What Mitiga offers you

  • ML-based detection2
  • Built-in AI assistant1
  • Natural-language query1
All capabilities 8 capabilities
AI-driven real-time cloud detection and response (AIDR) shipped suggested Performs real-time automated triage across multi-cloud and SaaS environments, dynamically adjusting risk scores and separating routine activity from genuine threats without manual analyst intervention. 3 releases · first seen Aug 2026

Suggested capability: Response playbook automation. This is our guess, not confirmed.

Also counts toward: ML-based detection

release

  • Introduces Helios AIDR, an AI-driven cloud detection and response platform that performs real-time triage across multi-cloud and SaaS environments. Helios AIDR: Why Cloud Security Needs Intelligent Automation Now (2026-08-19) · Aug 2026 · source · release history
  • AI Insights dynamically adjusts risk scores and separates routine activity from genuine security concerns without manual analyst intervention. Helios AIDR: Why Cloud Security Needs Intelligent Automation Now (2026-08-19) · Aug 2026 · source · release history
  • Launches AI Insights as the first Helios AIDR capability, automatically executing contextual triage tests against every potential threat lead and significant cloud activity. Helios AIDR: Why Cloud Security Needs Intelligent Automation Now (2026-08-19) · Aug 2026 · source · release history
AI-generated investigation narrative summaries shipped suggested Reads a selected group of forensic events and produces a plain-language narrative covering what happened, in what order, and why it matters, with one-click access to the underlying raw log entries and detectors. 1 release · 1 other source · first seen Aug 2026

Suggested capability: Forensic timeline analysis. This is our guess, not confirmed.

release

  • Adds AI Summary for Workbench Events, which reads a selected group of forensic events and generates a narrative covering what happened, in what order, and why it matters — with one-click access to the underlying raw log entries and detectors. HeliosAI Agent: Finally, a Tier 2/3 Analyst You Can Trust (2026-08-18) · Aug 2026 · source · release history

example

  • Use AI Summary for Workbench Events to turn dozens of scattered forensic events from a cloud incident into a single readable narrative. In the Mitiga Helios console, open Workbench, select the forensic events you want to summarize, then click 'AI Summary' to generate a narrative of what happened, in what order, and why it matters —… HeliosAI Agent: Finally, a Tier 2/3 Analyst You Can Trust (2026-08-18) · Aug 2026 · source
HeliosAI guided cross-cloud incident investigation shipped An AI agent that conducts guided incident investigations across AWS, GCP, Azure, Microsoft 365, Okta, and SaaS applications — surfacing leads, connecting identity activity, and explaining the forensic evidence and confidence reasoning behind every verdict. 2 releases · first seen Aug 2026

Also counts toward: Built-in AI assistant, Natural-language query

release

  • Adds HeliosAI Investigation to the HeliosAI Agent, providing guided cross-cloud and SaaS incident investigation across AWS, GCP, Azure, Microsoft 365, Okta, and SaaS applications — surfacing leads, connecting identity activity, and showing the forensic evidence and confidence reasoning behind every verdict. HeliosAI Agent: Finally, a Tier 2/3 Analyst You Can Trust (2026-08-18) · Aug 2026 · source · release history
  • Adds natural-language log search to the HeliosAI Agent, letting analysts query the Cloud Security Data Lake in plain English with no query syntax or schema knowledge required. HeliosAI Agent: Finally, a Tier 2/3 Analyst You Can Trust (2026-08-18) · Aug 2026 · source · release history
Cloud and SaaS incident investigation workbench shipped Provides a single-pane view of user activity chains across multi-cloud and SaaS environments, with automated timelines that help SOC teams trace post-incident actions without requiring deep cloud investigation expertise. 2 releases · first seen Jul 2026

Shared capability: Forensic timeline analysis

release

  • Provides automated timelines of cloud and SaaS user activity to help SOC teams assess incident scope — such as tracking post-phishing actions like file downloads or email access. Introducing Investigation Workbench (2026-07-24) · Jul 2026 · source · release history
  • Adds Investigation Workbench to the IR2 Platform, providing a single-pane view of activity chains across multi-cloud and SaaS environments without requiring deep cloud investigation expertise. Introducing Investigation Workbench (2026-07-24) · Jul 2026 · source · release history
AI-integrated detection lifecycle management shipped suggested Applies AI across the full detection lifecycle — from researching Indicators of Attack and validating detection rules before deployment to performing real-time runtime analysis in production. 1 release · first seen Aug 2026

Suggested capability: Threat indicator matching. This is our guess, not confirmed.

Also counts toward: ML-based detection

release

  • Integrates AI across the full detection lifecycle: research intelligence for formulating Indicators of Attack (IoAs), automated detection rule validation and tuning before deployment, and real-time runtime analysis in production. Helios AIDR: Why Cloud Security Needs Intelligent Automation Now (2026-08-19) · Aug 2026 · source · release history
Automated attacker timeline and evidence packaging shipped Automatically assembles pre-built evidence packages and attacker timelines spanning multiple cloud environments, replacing manual investigation effort for analysts. 1 release · first seen Aug 2026

Shared capability: Forensic timeline analysis

release

  • Delivers pre-assembled evidence packages to analysts — replacing hours of manual investigation with automatically crafted attacker timelines spanning multiple cloud environments. Helios AIDR: Why Cloud Security Needs Intelligent Automation Now (2026-08-19) · Aug 2026 · source · release history
HeliosAI Agent API shipped Exposes the HeliosAI Agent via API so teams can incorporate its investigation capabilities into their own agentic SOC workflows. 1 release · first seen Aug 2026

release

  • Exposes the HeliosAI Agent via API for teams building their own agentic SOC workflows. HeliosAI Agent: Finally, a Tier 2/3 Analyst You Can Trust (2026-08-18) · Aug 2026 · source · release history
Incident materiality assessment and escalation guidance shipped Helps internal IR and SOC teams quickly determine whether an incident warrants in-house containment or external escalation, supporting time-sensitive disclosure requirements. 1 release · first seen Jul 2026

release

  • Enables internal IR and SOC teams to quickly determine incident materiality and decide between in-house containment versus external expert escalation, supporting SEC 4-day disclosure requirements. Introducing Investigation Workbench (2026-07-24) · Jul 2026 · source · release history

Lines in monospace are the tool's own words: help text parsed from its source, or an endpoint from its API document. Under release, a line is our summary of a dated release. Under docs, it is quoted from the tool's own documentation or website. Each links back to the source it came from.

Score card

  1. Shipping velocity releases a month, last 12 months
  2. Documentation quality release-notes rubric, 0–100
  3. Breaking-change discipline how rarely a release breaks users, and notice given
  4. Maintenance risk quiet time against its own cadence, maintainers
  5. Innovation & surface new capabilities, API and MCP surface

Five scores for Mitiga, each built from the releases, notes and API history this site tracks — and, on Researcher and Business, where it stands among every measured tool in its category and how that has moved.

Score cards are part of every paid plan.

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Each score is 0–100 on a published rubric, derived from data this site already shows. A dimension we cannot measure says so — it is never scored 0 and never enters a rank.

How this is scored
  • Shipping velocity — releases a month over the last 12 months, on a log scale where 16 a month scores 100. Needs 3 releases in the window.
  • Documentation quality — the release-notes rubric published on the analytics page, unchanged.
  • Breaking-change discipline — the share of releases carrying a breaking change (none scores 100, half or more scores 0). Only projects that label breaking changes are measured: a clean record cannot be told from an unlabelled one.
  • Maintenance risk — quiet time measured against the tool's own release cadence (quiet longer than 90 days and three typical gaps scores 0), plus the number of active maintainers and whether contributors are growing, where known. Higher is lower risk.
  • Innovation & surface — new capabilities in the feature ledger this year, API and MCP operations added, and the share of commits that are features: the mean of whichever we hold.
  • Community health (open-source tools only) — each is a direction, not a size: contributors this year against last, the bus factor now against a year ago, and issues closed per issue opened, where steady scores 50, doubled 100 and halved 0; plus the median time to a maintainer's first reply (an hour scores about 100, a month or more 0). A commercial card has no repository and carries none of the four.
  • Documented delivery (commercial tools) — when a vendor's documented new capabilities have slowed against its own baseline, that counts against the overall standing as heavily as two low dimensions. Steady delivery, or too little history to judge, leaves the standing alone; it is never a sixth score.
  • Open-source tools are scored on repository signals; commercial tools on their published changelog. Ranks compare tools within one category and one profile and need at least five measured peers; the overall standing needs three ranked dimensions. Best-in-breed or consolidator is a shape, not a quality, and is never scored.

Release-note detail over time

See how much detail Mitiga puts in its release notes, quarter by quarter, and compare it with tracked tools in the same category. This history uses up to ten retained, reviewed notes per tool; sparse or blank older quarters may reflect that limit.

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Website history

mitiga.io, every change

Mitiga's home page and 25 more pages as they looked each month from September 2021 to October 2026: 38 renders, 5 changes of tagline or palette. Step through them, play them, or put any two months side by side.

Website history is included with Researcher and Business.

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Releases

3 entries

  1. August 20262
  2. July 20261

    3 entries

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