Identity Lifecycle Management Wasn't Built for AI Agents

Traditional identity lifecycle management systems were designed with human employees in mind, factoring in elements such as employment records, managerial oversight, and departure dates. However, these systems are not equipped to handle autonomous AI agents, which lack these characteristics. As a result, the existing governance model has blind spots when it comes to managing AI agents. The traditional tools used for identity governance and administration were not designed to detect these issues. This limitation can lead to gaps in the management of autonomous principals in enterprise environments. The shortcomings of the current model are a key concern as AI agents become more prevalent.