White paper

AI Agents Need Identity: A New Model for Enterprise Access
& Control

A standards-based white paper on delegated access, policy control, and zero trust for AI agents

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Download the White Paper.

Your AI agents are already making access decisions. Can you
govern them?

Your AI agents are already making access decisions. Can you govern them?

AI agents are entering enterprise environments faster than governance programs can adapt. They retrieve data, invoke tools, and execute multi-step workflows, often with limited human oversight. Yet most operate under shared API keys or inherited credentials. No one can say which agent performed which action, or whether it had authority to do so.

Inside this white paper, you’ll find:

  • Why shared credentials and static tokens fail under agentic workloads, and what replaces them
  • How token exchange (RFC 8693), OpenID Connect, and OIDC CIBA enable delegation without impersonation
  • A reference architecture that centralizes trust, policy evaluation, and audit across every agent action
  • Where to start: a phased adoption path that extends existing IGA and PAM programs to agent identities

This paper lays out a practical, standards-based model for treating AI agents as first-class non-human identities, governed with the same rigor enterprises apply to human and application access.

How does your IAM program measure up?

What area should be your first priority?

Simeio’s advisory and benchmarking service team provides a clear, quantifiable assessment of your identity management system, highlighting both strengths and areas for improvement. Schedule a session now to explore critical aspects of your identity fabric from onboarding to risk management. Gain a clear roadmap for enhancing your identity platform, closing gaps, and strengthening your enterprise’s security foundation.