MCP servers connect AI agents to enterprise systems, but most examples aren't specific about what they have access to - they just assume you know. This works until your assistant decides to reorganize your file system or email your entire customer database. Turns out giving AI agents broad permissions is like giving a toddler car keys.

This session guides authorization for AI workflows beyond RBAC (Role-Based Access Control). We'll implement dynamic permission scoping, context-aware authorization, and most importantly, human approval gates for dangerous operations. You'll learn to build agentic workflows that are useful enough to deploy but constrained enough to trust with production data.