Securing AI Document Agents with LlamaIndex and Auth0
Why This Matters Now Building AI-driven document agents is becoming increasingly common, but ensuring that these systems respect user permissions is crucial. Traditional authorization methods fall short in RAG systems, where documents are the unit of access and LLMs synthesize information across multiple documents. Recent incidents highlight the risks of inadequate authorization, making it essential to implement robust security measures now. 🚨 Security Alert: Unauthorized access to AI-driven document agents can lead to exposure of sensitive information, including financial data and personal records. 100K+Potential Data Breaches 72hrsTime to Secure The Problem Is That AI Makes Authorization Harder Traditional authorization in web applications is typically coarse-grained, focusing on roles and permissions at the endpoint level. However, this approach breaks down in RAG systems for several reasons: ...