As enterprises increasingly deploy autonomous AI agents across their operations, cybersecurity company Exabeam has unveiled new capabilities designed to help security teams monitor, detect and respond to AI-related threats without slowing innovation.
The latest update expands Exabeam’s Agent Behavior Analytics (ABA), Outcomes Navigator, Exabeam Nova, Threat Center and Attack Surface Insights, providing organizations with greater visibility into how AI agents interact with systems, users and sensitive data.
Unlike traditional applications, AI agents can access systems, invoke tools and make decisions using legitimate credentials, making malicious or risky activity difficult to detect through conventional security methods. Exabeam addresses this challenge with its Behavior Intelligence approach, which combines behavioural analytics, AI-driven investigations and automated threat detection.
“Organizations are rapidly moving from AI experimentation to autonomous AI agents operating across the enterprise,” said Pete Harteveld, CEO of Exabeam. “Security teams need visibility not only into human activity, but into how agents behave, interact and make decisions.”
Among the key enhancements is a significant expansion of AI threat detection. Exabeam has doubled its AI-focused behavioural detections to 90, enabling security teams to identify suspicious prompt activity, unauthorized autonomous agents, abnormal AI usage patterns, shadow AI deployments, configuration changes and emerging “Denial of Wallet” attacks that abuse AI services to generate excessive costs.
