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

Overview

Syllabus

• Introduction to RAG Systems
Overview of Retrieval-Augmented Generation (RAG) systems
Importance of security in AI applications
Key challenges in authorizing RAG systems
• Fundamentals of Authorization Frameworks
Understanding Access Control models
Comparison between RBAC (Role-Based Access Control) and ReBAC (Relationship-Based Access Control)
• LangChain4J Overview
Introduction to LangChain4J
Key features and integration with RAG systems
Security capabilities of LangChain4J
• OpenFGA Overview
Introduction to OpenFGA
Architecture and components
Authorization policies and enforcement
• Implementing RBAC in RAG Systems
Defining roles and permissions
Integrating RBAC with LangChain4J
Case study: Applying RBAC using OpenFGA
• Implementing ReBAC in RAG Systems
Understanding relationships in access control
Integrating ReBAC with LangChain4J
Case study: Applying ReBAC using OpenFGA
• Best Practices for Authorization in RAG Systems
Balancing security and efficiency
Role hierarchy and relationship management
Regular audits and monitoring
• Advanced Topics
Scalability of authorization frameworks
Real-time authorization in high-throughput environments
Future trends in AI security
• Workshop and Hands-on Session
Setting up a LangChain4J environment
Defining and testing RBAC/RBAC rules with OpenFGA
Troubleshooting common authorization issues
• Course Summary and Next Steps
Recap of key learnings
Resources for continued learning
Opportunities in AI security and authorization

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Subjects

Computer Science