IAM Frameworks for AI Agents: Addressing Identity Management Challenges

• •AI agents operate autonomously, creating risks not addressed by traditional IAM systems.
• •The gap between IAM intent and actual execution by AI agents is termed 'identity dark matter.'
• •Existing IAM frameworks must be adapted to effectively manage the unique behaviors of AI agents.

On September 28, 2026, two articles were published discussing the emerging discipline of Identity and Access Management (IAM) for AI agents. These articles highlight the unique challenges posed by AI agents, which operate autonomously and can execute actions beyond static permissions. The articles emphasize the gap between intended access defined by IAM policies and the actual execution of actions by AI agents, referred to as 'identity dark matter.' This gap poses significant risks, including unauthorized actions and misconfigurations. The articles recommend extending existing IAM frameworks to incorporate agent-specific controls and monitoring. They also discuss the limitations of traditional IAM systems in managing the dynamic behavior of AI agents. No specific incidents or CVEs were reported, but the need for improved IAM practices for AI agents is underscored.