Ideas
ragsecurityenterprise

RAG chat history permission controls

Create fine-grained access controls for RAG chat histories to prevent sensitive data leaks. Targets enterprises using AI assistants with proprietary data.

Why now

Growing RAG adoption creates new attack surfaces in chat histories that current tools don't address.

Who for
enterprise AI teams
Business model
enterprise licensing
Effort
A few weeks

RAG systems expose sensitive data through both search results and chat histories, but most only protect the search path. A middleware layer could apply RBAC policies to chat replay.

Build as a plugin for popular RAG frameworks with configurable rules for message redaction, read permissions, and retention policies.

Start with basic role-based restrictions compatible with LangChain before expanding to full policy engines.

Risk is low adoption if seen as complicating existing deployments.

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RAG chat history permission controls — Ideas