By George Curta · Last updated 2026-04-07
AI Data Leakage Prevention Guide
Essential strategies for preventing data leaks through ChatGPT, Claude, and AI tools. AI is now the #1 exfiltration vector based on 2025 breach data.
anonym-legal-ai-data-leakage-prevention.pdf
PDF • 18 pages
About This Resource
AI tools have become the #1 data exfiltration vector in 2025, with 77% of employees pasting sensitive data into GenAI tools and 32% of all data exfiltration now happening through AI channels.
This guide provides a practical framework for protecting your organization from AI data leakage, covering risk assessment, policy development, technical controls, and employee training. We draw on real-world incidents including the December 2025 Chrome extension breach that exposed AI chats of 900,000 users.
Whether you're developing an AI acceptable use policy, evaluating AI security tools, or building a comprehensive AI governance program, this guide provides the framework and templates you need.
What's Inside
Key Benefits
Understand the 77% paste rate problem
Ready-to-use AI acceptable use policy template
30/60/90 day implementation roadmap
Vendor evaluation framework
Who Is This For?
77% of Employees Paste Sensitive Data into AI Tools
AI has become the #1 data exfiltration vector in 2025, with 32% of all data leaks now happening through GenAI channels. This guide helps you protect your organization before it's too late.
Read: AI is Now the #1 Data Exfiltration VectorReady to Protect Your AI Workflows?
anonym.legal provides the tools to implement these AI security recommendations. Anonymize data before it reaches any AI tool.
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.