Identity Lifecycle Management Wasn't Built for AI Agents

The traditional identity lifecycle management system, designed for human employees with clear employment records and roles, is falling short when it comes to AI agents. These autonomous systems don't fit the human-centric model, creating governance blind spots that traditional tools can't address. As AI agents become more common in enterprise settings, the need for a new approach to identity management is becoming urgent. This shift is crucial for ensuring security and compliance in increasingly automated environments.