Exabeam Expands UEBA with AI Agent Behavior Analytics

Security operations vendor Exabeam recently announced a new connected system of AI-driven security workflows to protect organizations from AI usage risks and AI agent activity.

Uncovering AI agent behavior and delivering insights

According to Exabeam, this release extends its user and entity behavior analytics (UEBA) to bring together 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 behavior requires more than brittle guardrails; it requires understanding what normal behavior 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,” Wilson continued.

Agentic AI behavior now at center of security operations

In late 2025, Exabeam introduced a UEBA designed to detect AI agent behavior through an integration with Google Gemini Enterprise – enabling organizations to detect, investigate, and respond to agent activity for the first time.

This new release places AI agent behavior analytics at the center of how security teams detect and investigate AI-related activity.

AI investigations are unified in a single place, allowing teams to assess the security posture around AI usage and agent activity with precise maturity tracking, targeted recommendations, and enhanced data and analytics to accurately model emerging agent behaviors. 

These capabilities provide a structured, measurable foundation for understanding AI activity, accelerating investigations, and continually improving defenses as agent adoption grows. 

“AI agents have the potential to radically transform how businesses operate and serve their customers, but only if they can be governed responsibly,” said Pete Harteveld, CEO of Exabeam. 

“Executives need clear insight into AI agent behavior and an understanding of whether their security posture is strong enough to support safe adoption. These new capabilities from Exabeam provide that insight and give organizations a path to continuously improve, ensuring we protect our customers, their customers, and the broader ecosystem from emerging AI-driven threats,” Harteveld said.

Extending proven insider threat detection to AI agents

The UEBA that Exabeam introduced in September 2025 integrated Google Agentspace and Google Cloud’s Model Armor telemetry into its New-Scale Security Operations Platform.

The integration enabled security teams to monitor, detect, and respond to threats from AI agents operating as digital insiders.

The visibility provided through this integration gives organizations insights into autonomous agent behavior.

“This is a natural evolution of our leadership in insider threat detection and behavioral analytics,” said Wilson. “Exabeam solutions are inherently designed to deliver behavioral analytics at scale. Security operations teams don’t need another tool – they need deeper insight into both human and AI agent behavior, delivered through a platform they already trust. We’re giving security teams the clarity, context, and control they need to secure the new class of insider threats.”

Exabeam Nova – a newer innovation from the company – is central to this move. It serves as an intelligence layer enabling security teams to confidently interpret and act on agent behavior. 

This innovation delivers explainable, prioritized threat insights by analyzing AI agents’ intent and execution patterns in real time.

Back in May, Exabeam partnered with Vectra AI on threat detection and SecOps. Learn more about this partnership to streamline cloud threat detection and automation.