AI AGENT IDENTITY SECURITY

A practical maturity model for assessing AI agent identity controls, identifying gaps, and building a prioritized roadmap. Grounded in OWASP, NIST, CSA, and MITRE ATLAS.
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Close the gap in your current idenity security model
AI agents hold real credentials, operate under real authority, and can take consequential actions inside your infrastructure. Standard IAM programs govern people and service accounts. Machine identity programs govern certificates and secrets. Neither was designed for an identity that is autonomous, delegating, and operating at machine speed across systems.
This framework gives security leaders a structured way to assess exactly where their controls are, and where they are not, before deployment scale makes the gaps hard to close.
What you will walk away with
The framework covers five levels. Here's what each one looks like in practice.
No inventory, no credentials management, no visibility.
Policy exists. Discovery is incomplete. Governance is on paper.
Consistent credentials. Continuous discovery. Enforced lifecycle.
Context-aware authorization. Delegation chains tracked. Behavioral baselines active.
Real-time adaptive controls. Full lifecycle visibility. Governance embedded in AI release processes.
Download the framework. Score your current state. Understand what to do next.