Multimodal redaction gateway
PolyRedact – your multimodal redaction gateway
As LLMs and multimodal AI move into every product, more and more sensitive data is leaving core systems — PolyRedact aims to be the default redaction layer in that flow. Detect and redact sensitive data in text, screenshots, documents, audio and video before it leaves your system – then safely send content to LLMs, analytics tools, vendors or cloud storage.
API-first · Multimodal · Run in your own cloud
Data flow
Destinations
Text · Images
Docs · Audio · Video
Recent redactions
Data is leaving your systems faster than your DLP can keep up.
Teams are shipping AI features and using external APIs with real customer data. Screenshots, tickets, PDFs, logs, call recordings – they are all being sent to LLMs, analytics tools and vendors. Traditional DLP and security tools were not built for this multimodal, API-driven world.
- • Engineers paste screenshots and logs into LLMs just to get answers.
- • Product teams feed PII-heavy tickets, chats and PDFs (PII = personally identifiable information) into AI copilots.
- • Security and compliance have no unified control point before data goes to external APIs, unlike traditional DLP (data loss prevention) tools.
Who is PolyRedact for?
You're shipping LLM features on top of PII-heavy data (support tickets, CRM records, user-generated content). PolyRedact lets you ship fast without exposing sensitive data to third-party LLM APIs.
You need a control point in front of LLMs and analytics tools, but traditional DLP tools don't handle the AI era. PolyRedact gives you policy-driven redaction with verifiable audit trails.
One gateway in front of all your outbound data.
PolyRedact sits between your applications and external services. Every outbound payload – whether it is text, a screenshot, a PDF, an audio file or a video clip – passes through the gateway. Sensitive data is detected, redacted and logged before the content is forwarded.
Text, screenshots, documents, audio and video – handled by a single engine and a single policy model.
Drop-in /proxy endpoint that forwards to OpenAI, Azure OpenAI or your own models after redaction.
Configure which fields to block, mask or partially reveal: PII (personally identifiable information), secrets, internal IDs and custom patterns.
Every call is logged with input/output hashes and signatures, so you can prove what was redacted and when.
How PolyRedact fits into your architecture.
You do not have to rebuild your stack. Just send outbound data through PolyRedact first.
Replace direct calls to LLMs or third-party services with a call to POST /proxy or POST /redact/*.
The engine scans text and media for PII, secrets and custom patterns, applies your policy and writes an audit record.
Redacted content is sent to the target API or storage. A signed audit entry is kept so you can trace every decision.
Simple flow
Your apps → PolyRedact Gateway → LLMs / Analytics / Storage / Vendors
Under the gateway: Detection · Redaction · Policy · Audit log
Built for real-world AI and data workflows.
Redact PII from support tickets, CRM records and screenshots before sending them to LLMs – so you can ship AI features without shipping raw customer data.
Learn more →Automatically mask emails, names, IDs and secrets in backend screenshots before they are shared with AI assistants or external vendors.
Learn more →Clean transcripts, PDFs and training videos before they feed analytics pipelines or AI models.
Learn more →Ship AI features without leaking sensitive data.
PolyRedact gives you a dedicated redaction layer in front of LLMs, analytics tools and vendors – so engineers can move fast and security can sleep at night.