Exabeam
New Threat Center Endpoint (2026-09-16) commercialThe section your link pointed to isn't on Exabeam's page any more, so we've brought you to the top.
Exabeam is a security analytics platform that detects insider threats and advanced cyberattacks through behavioral analysis and machine learning.
Summary
Exabeam is a commercial 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. platform that unifies log collection, analytics, and threat detection into a cloud-native service, with self-hosted options available through its LogRhythm SIEM and Exabeam Appliances products for teams that cannot move data off-premises. It is aimed at 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. analysts and threat-hunting teams who need to investigate and close cases rather than just collect logs, and it automates parts of that investigation with risk scoring, playbooks, and visualizations. Its documentation describes case management features like time-to-close tracking through its API, and it extends behavioral analytics beyond users to AI agents, positioning it against the OWASPOWASPA nonprofit foundation that publishes open standards, guides, and ranked vulnerability lists—most famously the OWASP Top 10—giving cyber tools a vendor-neutral benchmark to test or report against. Agentic AI framework for assessing agent-based risk. Launched in 2013, it remains under active development, with 11 releases tracked and the most recent shipped 37 days ago.
Exabeam is a security analytics platform that detects insider threats and advanced cyberattacks through behavioral analysis and machine learning.
How Exabeam helps
Who on the network is behaving differently than their own history suggests they should?
baselines each user's and entity's normal activity through behavioral analytics and machine learning, then risk-scores deviations so analysts see anomalies instead of raw log volume
Which of my cases are stalling before they get closed?
tracks each case's stage transitions and audit events through its lifecycle history, so a case sitting idle at a particular stage is visible rather than buried in the queue
Is an AI agent in my environment doing something outside its normal pattern?
extends behavioral analytics to agent activity and prompt/response flows across major AI platforms, flagging usage patterns that deviate from an agent's own baseline
How exposed is my agentic AI setup to known attack patterns?
assesses the configuration against the OWASP Agentic AI framework and reports where it falls short of that framework's controls
What led up to this alert, and what else happened in that case?
reconstructs a threat timeline from a given alert or case, laying out the sequence of related events rather than leaving the analyst to piece it together from raw logs
Can I pull case status and timing into another system without opening the console?
exposes case details, including when a case was closed, through the API so timestamps and lifecycle data can be consumed by external reporting or tracking tools
Languages
Screenshots
From the release notes, newest first. Click one to see it full size.Score card
-
Shipping velocity releases a month, last 12 months
-
Documentation quality release-notes rubric, 0–100
-
Breaking-change discipline how rarely a release breaks users, and notice given
-
Maintenance risk quiet time against its own cadence, maintainers
-
Innovation & surface new capabilities, API and MCP surface
Five scores for Exabeam, 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.
See plans → Already subscribed? Sign in →Trajectory
Blank means never measured; nothing here is a filled-in zero.
Peer standings are included with Researcher and Business. See how this tool ranks against its competitors, using data we don't publish anywhere else.
See plans →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 Exabeam 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.
Checking release-note history…
Website history
exabeam.com, every changeExabeam's home page and 40 more pages as they looked each month from September 2021 to October 2026: 52 renders, 4 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.
See plans → Already subscribed? Sign in →← → or h l a month · Shift a year · [ ] previous / next change · Space play · 1 2 3 page · T whole page · C compare · F full size
← → or h l the right month · Shift the left · S swap · W wipe · T whole page · Esc back
Rebranding timeline
Dates bound when a change appeared between captures. Possible rebrands are AI suggestions; a redesign alone does not establish a rebrand.
Coverage
Missing something? Tell us
What Exabeam connects to, runs on and detects, read from its release notes and docs. So far: 3 new integrations, 1 updated supported platform.
4 changes, tracked since Oct 1, 2026.
-
Oct 12026
new Generative AI Collectors for ChatGPT, Google Gemini, and GitHub Copilot
New collectors for ChatGPT, Google Gemini, and GitHub Copilot ingest and parse telemetry from widely used enterprise AI platforms.
-
Oct 12026
updated OpenSearch replaces Elasticsearch as the self-hosted search foundation
LogRhythm SIEM now provides an in-place migration from Elasticsearch to OpenSearch. The change improves search and indexing performance and addresses database vulnerability flags in the self-hosted footprint.
-
Oct 12026
new Claude Enterprise ingestion
Direct Claude Enterprise ingestion brings activity logs and chat API data into a standardized timeline. Security teams can use this view to monitor non-human activity and establish behavioral baselines for sanctioned AI environments.
-
Oct 12026
new Agentic SOC plugin for Claude Code and OpenAI Codex
The Agentic SOC Plugin provides investigative guidelines for Claude Code and OpenAI Codex. It translates threat hunting workflows into conversational commands, reducing the need to write complex prompts.
Coding agents 3
Chat & assistant apps 2
Model providers & gateways 1
Databases & data platforms 2
Nothing first seen in this window. That doesn't mean Exabeam shipped nothing, only that we found no record of it.
How we count
Read from 2 of 36 release notes and docs updates we hold for Exabeam. "First seen" is the earliest note that names something; "last" is the latest. Our history may start partway through Exabeam's life, so an old integration can show a recent first-seen date.
Each change counts once: "added 40 checks" is one line, so the numbers measure how often coverage moves, not how big the catalogue is or how well it detects.
Releases
36 entries
No entries match these filters.
- October 20262
- September 20263
- August 20266
- July 20264
- June 20263
- May 20261
- April 20261
- March 20261
- February 20261
- January 20262
- December 20251
- November 20251
- October 20251
- September 20251
- August 20251
- July 20251
- June 20251
- May 20251
- April 20251
- March 20251
- February 20251
- January 20251
Add the badge to your README
Maintain this project? The badge links readers straight to this page, so they can follow every release here.