The Ultimate Guide to Identity for AI
AI agents are no longer experimental—they’re already accessing systems, making decisions, and acting on behalf of users. But most identity and access management (IAM) platforms were never designed to govern autonomous, machine-speed actors, creating real security, compliance, and accountability gaps.
Checklist:
- Design identity controls that govern autonomous and delegated AI agents, not just humans
- Prevent credential sharing, impersonation, and untraceable agent actions
- Apply least privilege, human-in-the-loop oversight, and Zero Trust to agentic workflows
- Secure agent-to-tool and agent-to-agent interactions using OAuth 2.0, MCP, DCR, and assertion grants
This guide gives executives and practitioners a practical framework for enabling AI safely—without sacrificing speed, trust, or compliance.
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