🔒

LLM Sanitization Gateway

Intercepts text before it reaches any LLM, detects PII, stores originals in a secure vault, and replaces them with tokens. The LLM processes sanitized text. On the way out, vault tokens are restored so the user sees the real data — but the LLM never did.

Privacy-first — PII stored in vault, never sent to cloud LLMs. Use any provider without compliance risk

Transparent restoration — User sees full data, LLM sees tokens — seamless round-trip in under 50ms

Zero trust — Works with any LLM provider — no trust assumptions needed, no data residency concerns

The Problem

Enterprises want GPT-4 and Claude for workflows, but sending customer data violates compliance. Manual redaction is too slow.

How LFM Compares

Manual redaction is slow. Regex preprocessing misses context. Adding a cloud DLP step still sends data to a third party. LFM intercepts and tokenizes PII inline at <50ms — zero exposure.

What LFM Unlocks

Vault-based sanitization gateway at <50ms. Intercepts, tokenizes PII, sends sanitized text to LLM, restores on return. Zero PII exposure.

Try a demo example

Data Flow

Original Text

Detect & Redact

LLM Processing

Restore PII

Step 1: Original Text (with PII)

Press ⌘/Ctrl + Enter to submit

LLM Prompt Template

Use {text} as placeholder for sanitized text

Step 4: Restored Response

Process text to see the magic

This demo is fine-tuned on sample data. Results improve with your data.

Build Your Model on Workbench →Talk to Our Team