As AI systems move into production, data security and access control become critical. In the era of AI agents, enterprises must move beyond experimentation to Day 2 operations, where guardrails, compliance, and fine-grained authorization define success. This session explores how to design permission systems that ensure AI agents access only authorized data while maintaining efficient and accurate responses.

The talk introduces Relationship-Based Access Control (ReBAC), popularised by Google’s Zanzibar model, as a scalable approach for fine-grained authorization in AI-driven environments. It also includes a live demonstration of implementing secure access control for AI agents and RAG pipelines using Pinecone, LangChain, OpenAI, and SpiceDB, showing how these components work together in practice.

What You Will Learn

• How to design fine-grained authorization systems for AI agents and RAG pipelines
• Why the Zanzibar-inspired ReBAC model is effective for scalable AI authorization
• How to implement secure access control using Pinecone, LangChain, OpenAI, and SpiceDB

Who Should Attend

• AI engineers
• Data architects
• Security professionals
• Software developers working on enterprise AI systems
• Teams responsible for compliance and secure data access