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A practical framework to understand where your organization stands today, what stronger AI agent Identity security maturity looks like, and which areas require greater attention.
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Built from extensive research and working sessions with security leaders, IAM practitioners, application owners, and enterprise customers, the AI Agent Identity Security Maturity Model reflects the challenges organizations face as AI agent adoption scales.
The model is also informed by leading security frameworks, standards, and industry research, including OWASP Agentic AI guidance, CSA MAESTRO, NIST AI RMF, and the EU AI Act, along with other emerging agentic AI security, identity, and governance frameworks.
The model assesses maturity across governance, discovery and inventory, risk assessment, authentication, delegation, authorization, and threat detection and response. It helps organizations understand their current maturity, identify gaps and risk exposure, and see what stronger maturity looks like at each level.
Use the model to:
Assess your AI agent identity security maturity and understand what stronger controls look like as agent adoption scales.