Build Trustworthy AI: Implementing Access Control for RAG Systems Using FGA

Prevent sensitive data leakage in your generative AI applications. Download our whitepaper on implementing access control for Retrieval-Augmented Generation (RAG) systems. Learn how to apply Fine-Grained Authorization (FGA) using Okta FGA and OpenFGA to ensure your Large Language Models (LLMs) only retrieve context that the querying user is explicitly permitted to see. Build trustworthy AI architectures that respect strict enterprise security policies.

In this whitepaper, you'll learn:

• The unique security challenges of exposing private data through LLMs and RAG pipelines.
• How Fine-Grained Authorization (FGA) works to prevent sensitive information disclosure.
• Step-by-step instructions for integrating Okta FGA and OpenFGA into your AI applications.
• How to securely test and query your RAG application with properly granted FGA permissions.