Granular Access Control for AI Agents

AI agents operate across changing tasks, systems and data, making static credentials and coarse roles a poor fit for their authority. Learn how knowledge graphs and real-time authorization evaluate purpose, relationships, sensitivity and trust for every agent request.

Download the guide to learn:

• The core requirements for dynamic, auditable access control across agents and models
• How graph context supports task-specific decisions using consent, provenance and purpose
• How MCP and A2A interactions can remain policy-aligned, traceable and time-bound