AI Agents Undermine Traditional Access Control Models

TechRadar reports that enterprises deploying autonomous AI agents are exposing fundamental flaws in decades-old access control models, as agents operate autonomously, at machine speed, and across trust boundaries. The article details identity ambiguity, velocity of access requests, and auditing challenges that undermine RBAC/ABAC and least-privilege. Organizations are pushed toward zero-trust and context-aware, real-time permissioning, entailing multi-year architecture and compliance work.