A Guide to Agentic AI Identity Maturity

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This guide outlines how organizations can advance their agentic AI maturity through the identity layer, strengthening security and compliance at every step.

The AI workforce is here with 91% of organizations leveraging AI agents to retrieve information, execute complex workflows, and interact directly with core enterprise applications. But as more agents are rolled out, the attack surface multiplies, introducing critical security vulnerabilities like hardcoded credentials and over-provisioned permissions to massive governance and compliance gaps.

A Guide to Agentic AI Identity Maturity

In order to safely harness the power of AI, agents must be treated as first-class identities. A secure organization must be able to answer 3 questions:

Where are my agents?
What can they connect to?
What can they do?

In order to answer them, organizations must implement the right systems, identity controls, and governance model.

This guide provides a comprehensive identity-driven framework for securing agentic AI. It outlines how organizations can leverage Identity and Access Management (IAM) as the central control plane to mitigate the unique threats posed by AI agents, to help maintain compliance, reduce risk, and enable safe AI-driven innovation.