Securing Non-Human Identities: A Framework for AI Agent Access Governance

As organizations integrate AI agents into their workforce, they must apply the same rigorous identity governance used for human employees—onboarding, role-based entitlements, and offboarding. Without proper oversight, AI agents can become unmanaged access points that pose security risks. A structured approach ensures every agent identity is known, scoped, and accountable throughout its lifecycle.

The integration of artificial intelligence into daily operations introduces a new class of digital actors that require formal oversight. Just as human staff are granted and later revoked system permissions, these automated entities must undergo a parallel lifecycle management process.

Establishing clear boundaries for what each agent can access, and ensuring those boundaries are removed when the agent is retired, prevents the accumulation of dormant credentials. This governance model aims to keep every automated identity visible, tightly restricted, and traceable to a responsible owner.