Put AI to work on your enterprise documents. Sensitive data stays protected.
GPTGuard masks sensitive data before any model sees it and enforces CBAC policy on every answer. Run it as SaaS, on-prem, in a private cloud, or air-gapped.
Watch a 90-second walkthrough of secure enterprise chat with GPTGuard
Trusted by regulated enterprises & agentic platforms
Secure enterprise chat
Why choose GPTGuard for your organization?
Businesses want the benefits of AI without risking sensitive PII or PHI being exposed to LLMs or leaking across companies.
GPTGuard masks sensitive data before it reaches the model, while preserving the context needed for accurate responses. That means teams can use AI more broadly without compromising privacy.
HyperSearch RAG: upload your files and chat with any document
Sensitive data identification and privacy-preserving masking
AI answers that keep their context after masking
Get accurate answers from your own documents
GPTGuard answers from your own documents. Its RAG search finds the passages that match each question, so every reply is specific to your data.
Answers built from the passages GPTGuard retrieves
Every answer shows the files and passages it used
Masked values keep their type, so answers stay accurate
Privacy built in
Protect sensitive data in every chat
GPTGuard masks names, account numbers, and other sensitive values before any model sees them. Deploy on-prem or in a private cloud and your documents stay in your environment.
Masked before the model
Sensitive entities are tokenized before any LLM call.
Your storage, your data
With on-prem or private cloud deployment, documents are processed in your environment.
Everything a secure chat needs, built in
Generic data masking breaks AI pipelines. Protecto was designed to preserve the accuracy your models need while giving you the control compliance demands.
OCR for image-to-text
Get answers to your questions from scanned documents, securely.
Context source
Every chat shows the exact files and passages GPTGuard referenced.
Multiple LLM models
Choose from the top LLM models available to chat with.
Chat using the internet
Need fresh information? Switch to web-grounded chat mid-session.
Powered by DeepSight
Catch the sensitive data generic chat tools miss
Every enterprise document contains different kinds of sensitive data. Claims files include policy and case numbers. Support tickets include account IDs. HR records include employee IDs. Generic detection often misses these details. DeepSight catches them.
GPTGuard uses DeepSight to scan every file uploaded to chat against more than 50 built-in entity types, along with any custom patterns your organization defines.
50+ built-in PII, PHI, and PCI entity types out of the box
Industry-specific add-ons for healthcare and banking
Custom entity patterns from your own schema knowledge
Works across both structured columns and unstructured free text in seven tested languages, including Arabic, English, French, German, Spanish, Dutch, and Japanese
Full NameSSNDOBEmailCredit CardIP AddressPassport NumberPhone NumberAddress
Industry Add-ons
MRN (Healthcare)NPI NumberIBAN (Banking)Policy Number
Custom via DeepSight
Your Custom Field AYour Custom Field B+ Add Pattern
Context-Based Access Control
Not every teammate should see the same answer.
A support rep and a compliance lead asking GPTGuard the same question should not get the same answer. Static roles cannot make that decision in real time. CBAC can.
Protecto’s CBAC controls what GPTGuard reveals based on who is asking, why they are asking, and what they are authorized to see.
Example: the same account note read by three agents and one tool call, no schema, no fixed fields.
Who is reading this note?(click a tab to switch)
Raw note before any policy runs. Every entity is visible.
→ This is what enters the model before CBAC evaluates the request.
Every access decision is logged, who, what, when, why.
Support compliance across multiple regulations
Compliance does not have to slow down AI adoption. GPTGuard helps protect sensitive data in line with HIPAA, GDPR, DPDP, and Saudi PDPL, so your teams can use AI securely wherever you operate.
Protect sensitive data without breaking AI workflows
A practical guide to privacy controls for AI assistants, RAG, and agents. One workflow traced from request to CRM update, with what each destination may see.