With non-human identities now outnumbering human ones 144:1 in typical enterprises (and that ratio growing 56% year over year) the identity challenge for AI agents is urgent. This tech paper cuts through the abstractions to give technical leaders a practical framework: three types of agent identity, the authentication patterns that map to each, why traditional RBAC falls short for autonomous software, and the real-world failure scenarios (including the tj-actions supply chain attack) that show what happens when agent identity goes wrong. You’ll also get a phased implementation roadmap, do’s-and-don’ts for authentication, authorization, and audit, guidance on behavioral guardrails and human-in-the-loop design, and a solution evaluation checklist to assess your stack. See the key takeaways.
