RAG architect warns against unauthorized LLM data access

The author argues that enterprise RAG systems must separate data classification, authorization checks, and model routing from the LLM itself to prevent unauthorized data exposure. Implementing document classification during ingestion, enforcing access control filters during vector retrieval, and applying PII detection or tokenization before calling external models are essential architectural steps. The author notes that private hosting and system prompts alone are insufficient to secure sensitive data. Open article →