This paper outlines the emerging security challenges introduced by AI agents that act autonomously across enterprise systems. It explains how AI agents require privileged access to data, APIs, and tools, creating new identity risks if not properly governed. The document defines core requirements for securing AI agent identities, including lifecycle management, least-privilege enforcement, continuous monitoring, and dynamic authorization. It stresses the importance of treating AI agents as first-class identities with traceability, accountability, and policy controls. The paper positions identity security as the control plane for managing AI risk, preventing privilege abuse, and enabling safe adoption of autonomous systems.

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