Retrieval-Augmented Generation (RAG) enables powerful AI-driven insights but without the right guardrails, it can expose sensitive data to the wrong users. In this talk, we’ll explore how to implement fine-grained access control in RAG architectures to ensure AI agents only retrieve documents the user is authorized to see. You’ll learn how to prevent data leakage, enforce Zero Trust principles, and integrate fine-grained access control into your RAG pipelines. Whether you're building internal copilots or customer-facing AI assistants, this session will help you make “who can see what” a first-class citizen in your AI stack.