Exabeam recently launched the first connected system for AI agent behavior analytics. This new solution protects organizations from risks linked to AI usage. It integrates AI-driven security workflows into a single platform. The company now offers unified visibility into AI agent activity. This release extends their leading user and entity behavior analytics technology.
Security teams can now investigate AI threats using a timeline-driven approach. The system improves the ability to track security maturity. It provides targeted recommendations to strengthen defenses. Enterprises often struggle with AI agents sharing sensitive data without permission. Some agents even override internal policies or make unsanctioned changes.
“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.”
Strengthening AI Security Posture
The platform uses enhanced data to model emerging agent behaviors. This foundation helps leaders understand complex AI activity. It accelerates investigations as agent adoption grows rapidly. The launch marks a shift toward managing dynamic AI entities. Traditional tools often fail to monitor these decision-making systems. Experts predict AI agent oversight will soon become a core security category. Exabeam remains at the forefront of this evolving industry.
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Source: Businesswire
