AI agents are becoming the fastest-growing class of enterprise identities, yet most organizations lack a governance plan for them. Each agent should have its own distinct identity rather than borrowing human credentials or generic service accounts. Authentication relies on OAuth 2.0: use the on-behalf-of (OBO) flow when an agent acts for a user, and client credentials when acting autonomously. Short-lived federated credentials should replace long-lived secrets, and tokens should be scoped per resource. For high-risk actions, out-of-band human approval (e.g., hardware-key-backed CIBA flows) creates a verifiable accountability chain. Platforms like Microsoft Entra Agent ID, Okta, and CyberArk are building dedicated agent identity tooling. Best practices include assigning every agent a named owner with a lifecycle, enforcing least privilege, and continuous runtime audit logging.

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Table of contents
What is AI agent identity?Why can't AI agents just use existing credentials?How are AI agents different from traditional service accounts?How do you authenticate an AI agent?What is Microsoft Entra Agent ID, and who else is building this?How do you prove a human actually authorized an agent's action?Best practices for AI agent identityWhat this means for B2B SaaS teamsFrequently asked questionsConclusion
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