Topic

IAM Governance

IAM governance refers to the policies, processes, and controls that manage user identity and access rights across an organization's systems and applications. It ensures that only authorized individuals can access appropriate resources based on their role, reducing security risks and maintaining compliance with regulatory requirements. For enterprise AI governance, robust IAM governance is critical because it controls who can access AI models, training data, and decision-making systems, preventing unauthorized use and maintaining audit trails for accountability.

1 item

ResearchGlobal2026-07-01

Agentic AI Breaks Existing IAM Systems: Why Dynamic Entitlements Demand a New Identity Control Layer

A practitioner analysis by Chandra Gnanasambandam identifies two structural failures in how current identity and access management systems handle AI agents: agents may inherit excessive permissions beyond what the humans they represent are authorized to hold, and humans may exploit agent pathways to access data they could not reach directly. The analysis calls for real-time policy engines, short-lived credentials, and continuous behavioral monitoring as the core controls to close these gaps.

agentic AI agent identity IAM governance dynamic entitlements non-human identity least privilege access control privilege escalation