Securing the Future of AI: Authorization Strategies for RAG Systems with LangChain4J and OpenFGA

Explore the critical security challenges and solutions for Retrieval-Augmented Generation (RAG) systems in this 43-minute Devoxx talk by Deepu Sasidharan. Discover how to implement robust authorization frameworks that protect sensitive data while maintaining system performance in AI applications. Learn practical approaches to Role-Based Access Control (RBAC) and Relationship-Based Access Control (ReBAC) using OpenFGA within RAG architectures built with LangChain4J. Gain actionable insights for securing the interaction between retrieval components and generative models to ensure data privacy, security, and compliance in AI-driven applications. Valuable for AI architects, security professionals, and developers working with modern AI systems.