Enterprise RAG Data Loss Prevention

Retrieval-Augmented Generation (RAG) is the backbone of enterprise data indexing, but these systems are notorious for retrieving too much context.

The Over-Retrieval Problem

When an agent searches an internal vector database or file system via MCP, it often pulls entire document chunks that contain adjacent, highly sensitive information—such as executive salary data, unreleased product specs, or HR records—that was never meant to be included in the user’s prompt.

Panovista acts as a specialized firewall for your RAG architecture, filtering over-permissioned document retrieval before the context window ever reaches the external LLM.

Context Window Filtering & Semantic Interception

Panovista sits directly in front of your vector databases (like Pinecone, Milvus, or internal Postgres/pgvector instances). It hooks into your architecture right at the inflection point where retrieved vector chunks are formatted into the final LLM prompt context:

Vector Store Query ──► [Restricted Chunks] ──► [Panovista Proxy] ──► [Scrubbed Context] ──► External LLM

When the RAG pipeline requests a document chunk, Panovista scans the outgoing payload in real-time. By applying corporate Data Loss Prevention (DLP) rules directly to the datastream, Panovista dynamically scrubs PII and restricted keywords from the retrieved chunks before they are assembled into the final prompt sent to OpenAI, Anthropic, or Google.

Zero-Latency Sidecar Deployment

RAG relies heavily on speed and time-to-first-token (TTFT).

Because Panovista is compiled into a highly optimized, lock-free Go binary, it processes multi-megabyte text chunks in sub-millisecond time. Deploying it as a local sidecar next to your vector database guarantees zero-trust filtering without bottlenecking your user experience or slowing down your agentic loops.

Dynamic Multi-Tenant Separation

In multi-tenant SaaS environments, ensuring total data isolation inside unified vector clusters is critically complex.

Panovista handles multi-tenancy seamlessly at the proxy tier by validating tenant IDs inside your session headers against outbound RAG database lookups. If data containing a tenant ID mismatch attempts to pass through the line, Panovista automatically catches the boundary violation, drops the context block, and flags an alert, giving your enterprise absolute confidence in its unified vector boundaries.