Executive Summary
An article argues identity lifecycle management built for people breaks down for AI agents, which have no manager or departure date.
What Happened
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
Vulnerability / Attack Technique
Unmanaged AI agent identities
Technical Mechanism
Governance gaps.
AI Security Category
LLM06:2025 Excessive Agency
Part of the AI Agent Excessive Agency topic.
Relevant Frameworks
RealGround Analysis
Agents need owners and expiry. RealGround analysis: assign every agent a human owner.
Recommended Controls
- Assign owners and review dates to agent identities
Related RealGround Service
AI Security Readiness Assessment · or start with the free AI Agent Security Scanner.
Sources
thehackernews.com: https://thehackernews.com/2026/07/identity-lifecycle-management.html
Summary and analysis written by RealGround from the source above; last updated 2026-10-18.