By George Curta · Last updated 2026-05-28
anonym.legal vs Lakera Guard
Lakera Guard is an AI security platform for runtime protection of LLM applications from prompt injection attacks and data leakage. anonym.legal is a PII anonymization platform with reversible encryption, 285+ entity types, and GenAI security via Chrome Extension and MCP Server.
Learn more about Lakera Guard
Feature Comparison
| Feature | anonym.legal | Lakera Guard |
|---|---|---|
| Primary Focus | PII Anonymization | GenAI Runtime Security |
| Pricing | Free to €29/mo | Not published |
| Free Tier | Yes | Not found |
| PII Detection | Yes | — |
| PII Masking/Redaction | Yes | Check |
| Reversible Encryption | AES-256-GCM | — |
| Entity Types | 285+ | Not specified |
| Language Support | 48 languages | Not specified |
| REST API | Yes | — |
| Chrome Extension | Yes | — |
| MCP Server (AI Tools) | Yes | — |
| Office Add-in | Yes | — |
| Desktop App | Yes | — |
| Self-Hosted Option | No | — |
| DLP Policy Enforcement | No | Check |
| GenAI Security Gateway | No | Check |
| Zero-Knowledge Auth | Yes | — |
Comparison based on publicly available information. "Not found" indicates feature not documented on product page. Last updated February 2026.
Why Choose anonym.legal
Reversible Encryption
AES-256-GCM encryption with your keys. Decrypt when needed for audits, court orders, or compliance reviews.
285+ Entity Types
Detect PII across healthcare, financial, legal, and personal data categories with checksum validation for IDs.
Chrome Extension
Protect data before sending to ChatGPT, Claude, or Gemini. Browser-level anonymization for AI workflows.
MCP Server
Native integration with Claude Desktop via Model Context Protocol. Build privacy-first AI workflows.
48 Languages
Multi-language entity recognition with country-specific ID validation. Global coverage for international documents.
Transparent Pricing
Free tier + €3-29/month plans with no sales calls required. Know your costs upfront.
Zero-Knowledge Security
Your password never leaves your device. Even if our servers were breached, your credentials remain safe.
When Lakera Guard Might Be Better
Lakera Guard excels in specific GenAI security scenarios:
- Runtime LLM protection: Protect production LLM applications from prompt injection and jailbreak attacks
- Self-hosted deployment: Deploy security controls within your own infrastructure
- DLP policy enforcement: Block or mask sensitive data based on configurable policies
- AI application security: Purpose-built for securing GenAI applications at runtime
Frequently Asked Questions
What's the difference between anonym.legal and Lakera Guard?
anonym.legal is a PII anonymization platform with multiple delivery methods (API, Desktop, Chrome Extension, Office Add-in, MCP Server). Lakera Guard is a GenAI runtime security platform focused on protecting LLM applications from attacks and data leakage. Different tools for different use cases.
Does anonym.legal support reversible encryption?
Yes. anonym.legal provides AES-256-GCM reversible encryption. You can decrypt anonymized data when legally required. Reversible encryption documentation was not found on Lakera Guard's product page.
Can both protect AI workflows?
Yes, but differently. anonym.legal's Chrome Extension and MCP Server let you anonymize data before sending to AI tools. Lakera Guard protects LLM applications at runtime by detecting and blocking attacks and sensitive data leakage.
Which has better language support?
anonym.legal supports 48 languages with country-specific ID validation. Lakera Guard's language support is not publicly specified on their product page.
Does anonym.legal offer self-hosted deployment?
Currently anonym.legal is cloud-hosted with EU data residency (Germany). Lakera Guard mentions self-hosted deployment options on their product page.
Does anonym.legal offer zero-knowledge authentication?
Yes. anonym.legal uses zero-knowledge authentication with Argon2id and HKDF. Your password is processed on your device — only a mathematical proof is sent to the server, never the actual password.
Try anonym.legal Free
Reversible encryption. 285+ entity types. Multiple interfaces. Start with 200 free tokens today.
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.