Protect Sensitive Data in LibreChat with Protecto | PII Masking Demo

Most DLP tools can mask a PII value on the way into a model. Almost none of them can make that value usable again when the AI needs to call a tool with it, so the masking breaks the workflow instead of protecting it.

This is Protecto Privacy Gateway for AI Chat, live in a self-hosted LibreChat deployment. Watch what happens when a masked account number needs to resolve at a tool boundary — and comes back correct.

What the Gateway does, in order:
→ Masks the user's prompt before it reaches any model
→ Masks uploaded files and retrieved context before they enter the prompt
→ Resolves supported tool-call arguments at the boundary, so the call returns a real result
→ Unmasks the response for the authorized user only

The model never holds a real value at any point in that sequence.

This is a real screen recording. No speed ramps. Synthetic patient data throughout.

Scope: v1 protects entity-based data — PII, PHI, PCI, names, emails, phone numbers, account numbers, customer identifiers. It does not protect business context like pricing terms or legal reasoning.

LibreChat integration is available today.

See how it works: https://www.protecto.ai/product/privacy-gateway-for-ai-chat/

Open-source LibreChat integration: https://github.com/ProtectoAi/protecto-librechat-gateway

00:00 The problem: data leaving your infrastructure

00:11 How the Gateway sits between LibreChat and the model

00:21 Masking a chat message before it reaches the model

00:33 Resolving tokens back for the authorized user

00:53 Masking a document before it becomes model context

01:13 Getting a grounded answer without exposing the source

01:35 Protecto + LibreChat: privacy gateway for AI chat

01:39 Book a demo or explore the gateway on GitHub

#aichat #dataprivacy #LibreChat #pii #selfhostedai #dlp #aisecurity