AI agents are moving from experimentation into customer, workforce, and business workflows, but traditional IAM was built for humans and static machine identities.

The Ultimate Guide to Identity for AI explains how organisations can establish a trusted foundation for autonomous and delegated agents by giving each agent a distinct identity, tying actions to the appropriate human or system authority, enforcing least privilege, and maintaining human oversight and auditability.

It introduces the four pillars of Identity for AI:

delegate rather than impersonate, enforce least privilege, maintain human oversight, and make every action auditable, along with practical guidance on agent discovery, lifecycle governance, OAuth 2.0, Dynamic Client Registration, Model Context Protocol, and Zero Trust.

The guide helps business, security, IAM, and development leaders secure and scale agentic AI responsibly.