Limitations of Identity Lifecycle Management for Autonomous AI Agents
Traditional Identity Lifecycle Management (ILM) systems, designed around human employment records, fail to govern the provisioning, dynamic scope, and multi-environment instantiation of AI agents. This necessitates a fundamental re-evaluation of governance models to address autonomous principals that operate outside the established human-centric lifecycle structure.
Identity lifecycle management was architected around a person with an employment record, a manager, and a departure date. AI agents have none of those. As autonomous principals proliferate across enterprise environments, the governance model built for humans develops structural blind spots that traditional IGA tools weren't designed to detect. This guide covers where that model breaks, what it
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