This feature brief introduces Agent Behavior Analytics, which extends behavioral monitoring to non-human agents such as AI systems and automation tools. ABA uses purpose-built models to detect risky agent actions, including guardrail violations, unusual behaviors, and potential misuse. Instead of isolating agent activity, it integrates these signals into existing user timelines, providing a unified investigation view. As shown in the dashboards on page 3, organizations can visualize agent activity trends and demonstrate oversight for compliance. This capability helps security teams detect compromised agents, manage AI-related risks, and maintain visibility across increasingly automated environments.

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