This is the industry’s first and only comprehensive framework and maturity model for securing autonomous AI agents.

The Agent Integrity Framework defines five pillars: Intent Alignment, Identity and Attribution, Behavioral Consistency, Full Agent Audit Trails, and Operational Transparency. An agent either has integrity or it doesn’t, and these pillars are how you measure it.

The accompanying maturity model maps progression across five levels from ad-hoc legacy controls through discovery, governance, detection, and full runtime enforcement. It specifies capabilities to build at each phase across six capability areas: Inventory and Assets, Identity and Access, Policy and Governance, Integrity and Intent, Forensics and Audit, and MCP Security.

Developed through direct engagement with enterprise CISOs at major financial institutions and Fortune 500 companies, platform engineering teams managing heterogeneous agent deployments, and compliance leaders preparing for regulatory scrutiny, this document provides the conceptual foundation for thinking about what it means for an agent to operate with integrity from the user’s original intent through dozens of autonomous actions to the final outcome.