Topic

Non-Human Identity

Non-human identity refers to digital entities and accounts that are not controlled by individual humans, including service accounts, API tokens, bots, and automated systems that interact with enterprise infrastructure and data. Managing non-human identity is critical for AI governance because autonomous systems, machine learning models, and AI agents increasingly require access to sensitive resources, making it essential to track their actions, enforce least-privilege access, and audit their behavior. Proper non-human identity governance helps organizations prevent unauthorized data access, ensure accountability for AI-driven decisions, and maintain security controls across complex AI deployment environments.

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