3 Core Pillars of AI Agent Access Control

Traditional access control mechanisms — identity validation, token handling, and policy enforcement — are being adapted for AI agents rather than replaced. OAuth and OpenID Connect remain foundational but are increasingly applied at runtime for dynamic, context-aware decisions. Token Exchange is used more frequently as agents navigate multiple services and delegation chains, with opaque tokens issued to external agents to prevent sensitive data leakage. RBAC alone is insufficient for agents with dynamically changing roles, driving adoption of ABAC and policy-based models. Open Policy Agent (OPA) is gaining traction for enforcing external runtime guardrails based on agent-specific context like tool call sequences and delegation chains.