How to Secure Your RAG System from Leaks

When you connect an LLM to your internal docs, you risk leaking sensitive data. Securing your RAG system is a multi-layered engineering challenge.

Attribute-Based Access Control (ABAC)

Don't just give the AI all your documents. Implement metadata filtering in your vector database. When a user asks a question, the system should only retrieve documents that the user has the permission to see, ensuring that HR data or financial secrets are never exposed to unauthorized employees.

PII Scrubbing and Anonymization

Before a document segment is sent to the LLM, use a tool like Presidio to detect and scrub PII (Personally Identifiable Information). By replacing names, emails, and phone numbers with placeholders, you can leverage the reasoning power of cloud-based AI without compromising the privacy of your users or employees.