AI agents already access data, invoke tools, and take action without a human in the loop, and most identity programs were built only for people. This whitepaper argues agents should not be treated as extensions of human sessions, but as autonomous identities operating through a dedicated authorization plane, with task scoped credentials, runtime policy enforcement, and a traceable human accountability chain.
Drawing on recent AI identity incidents, the whitepaper shows where human centric IAM breaks under autonomous execution and outlines a defense in depth model built on separated trust planes.
One policy model. Two issuance planes. Download to see the architecture for governable autonomous systems.
