A four-step maturity model for securing AI agents and agentic systems using identity and access management (IAM) principles. The model progresses from ad hoc (no controls) through foundational (non-human identities, delegation, SIEM logging), enhanced (ephemeral credentials, fine-grained contextual access, real-time anomaly detection), to adaptive (continuous authentication, risk-based reauthentication, real-time revocation). The framework addresses four core risks: establishing accountability, enforcing least privilege, preventing abuse, and safeguarding data. Each maturity step builds on the previous, allowing organizations to incrementally improve their agentic security posture rather than implementing everything at once.
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