Exabeam Agent Behavior Analytics
Exabeam Agent Behavior Analytics establishes per-agent behavioral baselines and surfaces anomalies in real time, triaging high-risk detections above low-fidelity alerts so reviewers keep attending to an agent's findings instead of being buried in noise.
Description
Exabeam extends its UEBA behavioral analytics to AI agents, treating them as non-human insiders with broad access. It establishes normal agent activity, surfaces anomalies tied to misuse or policy violations, and separates high-risk detections from low-fidelity alerts to reduce noise.
Solution
Sits as an out-of-band analytics layer consuming agent activity, baselining behavior and surfacing prioritized anomalies for human investigation rather than enforcing inline.
Primary use cases
- Behavioral anomaly detection on AI-agent activity
- Triaging agent detections to cut alert noise
- Investigating agent misuse with session timelines
Open the full interactive page →
Diagram, neighbourhood map, code examples, related patterns and full provenance.