Securing AI agents starts with governing human authority

Securing AI agents effectively requires organizations to prioritize governance of human authority and identity over focusing solely on AI models and tools. The integration of AI agents within enterprises should consider how operational authority is delegated and governed, as organizations often struggle with managing privileged human access, inconsistent approvals, and poorly governed service accounts. Different deployment models for agents, whether centrally governed or user-deployed, pose unique security risks, particularly when agents inherit permissions from users or operate through service identities. The complexity of ensuring agentic security involves more than static permissions; it includes understanding dynamic authority assembled across humans, agents, and systems. Organizations must strengthen guardrails around both requesters and agents, emphasizing modern privileged access governance concepts such as least privilege, contextual authorization, and accountability tied to real identities. As AI systems scale, the focus should shift from merely authenticating requests to scrutinizing operational control, delegation, and authorization to ensure a secure and stable foundation for agentic operations.