Identity Lifecycle Management Wasn't Built for AI Agents 

Traditional identity lifecycle management (the system that controls who gets access to what in an organization) was designed around human employees with HR records, managers, and clear departure dates, using automated processes triggered by HR events like hiring, transfers, and termination. AI agents don't fit this model because they lack employment records, managers, and predictable lifecycles, creating governance gaps that existing identity and access management tools weren't designed to detect or control.