By George Curta · Last updated 2026-04-07
GenAI DLP: Protect Data in AI Workflows
77% of employees paste sensitive data into AI tools like ChatGPT and Claude. anonym.legal detects and anonymizes PII before it reaches AI systems — then de-anonymizes responses so you get useful output without data exposure.
Employees paste data into GenAI
LayerX 2025
Data exfiltration via AI tools
LayerX 2025
Entity types detected
Names, SSNs, cards, etc.
Supported AI Platforms
The Chrome Extension protects data sent to these AI platforms:
GenAI Protection Tools
Multiple ways to protect data in AI workflows:
Chrome Extension
v1.1.37Anonymize text directly in AI chat interfaces before sending
- Auto-detects PII as you type
- One-click anonymization
- De-anonymizes AI responses
- File anonymization (.txt, .md, .csv, .json)
MCP Server
Pro+Model Context Protocol integration for AI development tools
- Works with Claude Desktop
- VS Code integration
- analyze, anonymize, deanonymize tools
- Multi-language support
Web App
Free tierManual anonymization before copy/paste to any AI tool
- 285+ entity types
- 48 languages
- Batch processing
- Reversible encryption
How GenAI DLP Works
Protect sensitive data without blocking AI productivity:
Type or Paste
Enter text in ChatGPT, Claude, or other AI tool
Detect PII
285+ entity types detected automatically
Anonymize
PII replaced with tokens before sending to AI
De-anonymize
AI response restored with original values
GenAI DLP vs Other Approaches
| Approach | Productivity | Security | Reversible |
|---|---|---|---|
| anonym.legal GenAI DLP | |||
| Block AI tools entirely (e.g. Nightfall, enterprise DLP) | No | N/A | |
| Manual review/redaction | Slow | Variable | No |
| Trust AI providers | Risk | N/A |
Frequently Asked Questions
What is GenAI DLP?
GenAI DLP stands for Generative AI Data Loss Prevention. It covers tools and practices that keep sensitive data out of AI systems like ChatGPT, Claude, or Gemini. The work includes detecting PII before it reaches the AI, anonymizing sensitive data, and protecting privacy in AI workflows.
How does anonym.legal protect data sent to AI tools?
anonym.legal detects 285+ types of sensitive data (names, emails, SSNs, credit cards, etc.) and anonymizes them before they reach AI systems. When the AI responds, the Chrome Extension can de-anonymize the text back to the original values — so you get useful AI output without data exposure.
Which AI platforms does the Chrome Extension support?
The Chrome Extension supports six AI sites. These are ChatGPT (chat.openai.com), Claude.ai (claude.ai), and Google Gemini (gemini.google.com). It also covers DeepSeek (chat.deepseek.com), Perplexity (perplexity.ai), and Abacus.ai (apps.abacus.ai). It works in Chrome and Edge browsers.
Is my data stored when using GenAI DLP?
No. anonym.legal processes data in memory and returns anonymized output immediately. No data is stored on our servers. Your original text never leaves your browser when using the Chrome Extension — only the anonymized version is sent to the AI.
How is this different from blocking AI tools entirely?
Blocking AI tools prevents productivity gains. anonym.legal enables safe AI usage — employees can use ChatGPT, Claude, and other tools while sensitive data is automatically protected. You get the benefits of AI without the data exposure risk.
Enable Safe AI Usage Today
Stop blocking AI tools. Start protecting data automatically with GenAI DLP.
About this page
We update this page when our platform or the law changes.
Read our founder note for how we work.
Each change shows up in the timestamp at the top.
Related reading
- Common questions
- Glossary
- How tokens work
- Security posture
- Where we comply
- What we detect
- Case studies
- Release notes
We follow these rules
- GDPR (EU 2016/679).
- ISO/IEC 27001:2022.
- NIS2 (EU 2022/2555).
- HIPAA safe harbor under 45 CFR § 164.514(b)(2).
Our promise
We do not sell your data.
We do not train models on your text.
We store your files in Germany.
You can delete your account at any time.
You own your work.
Where we run
Our servers live in Falkenstein, Germany.
We use Hetzner. They hold ISO 27001 certification.
All data stays in the EU.
Backups run every day.
Need help?
Email support@anonym.legal.
We reply within one business day.
How we test
We run a full check suite on every release.
Each surface gets its own sweep script and report.
Human reviewers spot-check the output each week.
We track recall and precision on a labelled set.
Bad runs block the deploy.
What we never do
- We never sell your information to third parties.
- We never train models on what you upload.
- We never keep your work after you delete it.
- We never share keys with any outside firm.
- We never run ads inside the product.
Plans in plain words
We sell credits, not seats.
One credit covers one short job.
Long jobs use a few credits each.
You can top up at any time.
Unused credits roll over each month.
Read the plans page for current rates.
Who built this
A small team of engineers and lawyers built this.
We ship from Europe and work in the open.
Our founder note spells out why we started.
Where to start
- Open the web app and try a sample file.
- Learn how credits get counted.
- See current plans and limits.
- Meet the team behind the product.
How the parts fit
A browser add-on cleans text inside Chrome.
A Word plug-in handles drafts in Office.
A small desktop tool works on whole folders.
An agent protocol link feeds large models safely.
All four share one core engine and one rule set.
Words from our team
We started this work after a lunch about cookies.
One friend kept getting odd ads on her phone.
We asked why a court file leaked through a draft.
We sketched the first build on a napkin that week.
By month three we had a tiny demo for a friend.
She used it on her first case the next day.
Common questions we hear
Can the tool read scanned PDFs? Yes, with OCR.
Does it work on long files? Yes, in small chunks.
Can I roll my own rule set? Yes, save it as a preset.
Does it run offline? The desktop build runs offline.
Do you keep my files? No, the cloud build wipes after each run.
Will it learn from my work? No, we never train on inputs.
A short tour of the workflow
Upload a file or paste a snippet of prose.
Pick the entities you want gone from the draft.
Choose a method: replace, mask, hash, encrypt, or redact.
Press run and watch the side panel show each hit.
Skim the result and tweak any rule that misfired.
Save the cleaned file or send it to a teammate.