Exabeam launches the first connected system of AI-driven security workflows to protect organisations from the risks of AI usage and AI agent activity, extending its user and entity behaviour analytics (UEBA) to merge AI agent behavior analytics, unified timeline-driven investigation of AI activity, and posture visibility for AI agent security.
“Securing the use of AI and AI agent behaviour requires more than brittle guardrails; it requires understanding what normal behaviour looks like for agents and having the ability to detect risky deviations,” said Steve Wilson, chief AI and product officer at Exabeam.
“Exabeam is the first to apply UEBA to AI agents, and this release further extends that agent behavior analytics leadership. These capabilities give security teams the behavioral insight needed to identify risk early, investigate AI agent activity quickly, and continuously strengthen resilience as AI usage and agents become integral to enterprise workflows,” he added.
User and entity behavior analytics
Since unveiling its industry-first UEBA, designed to detect AI agent behaviour by integrating with Google Gemini Enterprise in September 2025, Exabeam has enabled organisations to detect, investigate, and respond to agent activity for the first time.
The latest release claims to provide the following capabilities to provide a structured, measurable foundation to understand AI activity, accelerate investigations, and continually improve defences. Its capabilities include the following:
- Prioritises AI agent behaviour analytics to detect and investigate AI-related activity
- Unifies AI investigations to assess their security posture around AI usage and agent activity
- Supported by precise maturity tracking, targeted recommendations, and enhanced data and analytics to accurately model emerging agent behaviours.
