Securing AI RAG Pipelines with Fine Grained Authorization - Sohan Maheshwar - NDC Oslo 2025

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Securing AI RAG Pipelines with Fine Grained Authorization - Sohan Maheshwar - NDC Oslo 2025 This talk was recorded at NDC Oslo in Oslo, Norway. #ndcoslo #ndcconferences #developer #softwaredeveloper Attend the next NDC conference near you: Subscribe to our YouTube channel and learn every day: / @NDC Follow our Social Media! #ai #cloud #security #openai Building enterprise-ready AI requires ensuring users can only augment prompts with data they're authorized to access. Relationship-based access control (ReBAC) is particularly well-suited for fine-grained authorization in Retrieval-Augmented Generation (RAG) because it makes decisions based on relationships between objects, offering more precise control compared to traditional models like RBAC and ABAC. This talk covers how ReBAC systems can safeguard sensitive data in RAG pipelines. We'll start with why Authorization is critical for RAG pipelines, and how Google Zanzibar achieves this with ReBAC. We'll then illustrate how pre-filtering vector database queries with a list of authorized object IDs can improve efficiency & security. The talk will also include a demo implementing fine-grained authorization for RAG using Pinecone, Langchain, OpenAI, and SpiceDB.
  2025/07/31      youtube

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