Track 58 — Governance for Agentic AI
58-2: Boundary Control & RBAC for AI
How to implement rigid Role-Based Access Control specifically tailored for autonomous LLM agents.
3 Lessons~45 min
🎯 What You'll Learn
- ✓ Differentiate between Human RBAC and Agentic RBAC constraints.
- ✓ Build isolated execution environments (sandboxes) for agent operations.
- ✓ Implement "Least Privilege" token scoping for LLM tool usage.
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3 lessons with hands-on exercises, metric cards, and assessment checklists.
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