By George Curta · Last updated 2026-04-07
Gebou vir Elke Bedryf
Van startups tot ondernemings, sien hoe organisasies oor verskillende bedrywe anonym.legal gebruik om sensitiewe data te beskerm en nakoming te handhaaf.
Begin Gratis ProefKI & GenAI Beskerming
Stop datalekke na ChatGPT, Claude & Copilot
77% van werknemers plak sensitiewe data in KI-hulpmiddels. GenAI is nou die #1 datalek-kanaal.
Chrome-uitbreiding onderskep PII voordat dit by KI-modelle kom. Plaaslike verwerking. Geen datalek nie.
Onderneming
GDPR-nakoming & databeskerming op skaal
Groot organisasies hanteer miljoene dokumente wat persoonlike data oor verskeie afdelings bevat.
Gekonsolideerde PII-detektering en anonimisering met ouditspore, rolgebaseerde toegang en batchverwerking.
Klein en Medium Besighede & Startups
Enterprise sekuriteit teen startup pryse
94% van SMB's is in 2024 aangeval. Enterprise hulpmiddels kos $800+/maand.
Dieselfde 285+ entiteitstipes en 48 tale. Begin gratis, skaal na €3/maand.
Ontwikkelaars
Toetsomgewings & CI/CD-pype
Ontwikkelingspanne het realistiese toetsdata nodig sonder om produksie PII bloot te stel.
API-integrasie vir outomatiese anonimisering in CI/CD-pype, wat veilige toetsdatasets genereer.
Regshandeling
Kontrak anonimisering & e-ontdekking
Prokureursfirmas moet sensitiewe inligting uit kontrakte, hofstukke en ontdekkingdokumente verwyder.
Presiese redaksie met ouditspore vir regshandeling en dokumentproduksie.
Gesondheidsorg
Pasiëntdatabeskerming & HIPAA-ondersteuning
Gesondheidsorgverskaffers moet pasiënte se inligting beskerm terwyl navorsing en analise moontlik gemaak word.
HIPAA-geskikte anonimisering vir mediese rekords, navorsingsdata en administratiewe dokumente.
Finansieel
PCI-DSS-nakoming & bedrogvoorkoming
Finansiële instellings hanteer sensitiewe kliëntedata wat onderhewig is aan streng regulerende vereistes.
Nakoming van anonimisering vir transaksie rekords, kliëntedata en regulerende verslagdoening.
Navorsing
Akademiese datadeling & publikasie
Navorsers moet datasets deel terwyl hulle deelnemers se privaatheid beskerm.
Consistente pseudonimisering vir navorsingsdatasets wat samewerking en publikasie moontlik maak.
Regering
Openbare rekords & FOIA-nakoming
Regeringsagentskappe moet openbare rekords vrylaat terwyl hulle burgerprivaatheid beskerm.
Outomatiese redaksie vir FOIA-versoeke, openbare rekords en inter-agentskapdeling.
Data-soewereiniteit
In Duitsland aangebied; data word slegs binne die EU verwerk.
Grensoverschrijdende data-oordragte stel organisasies bloot aan die US Cloud Act en GDPR-boetes.
100% Duitse infrastruktuur sonder Amerikaanse cloudverskaffers. Voldoen aan Schrems II per ontwerp.
Sien jy nie jou bedryf nie?
Ons PII-detektering en anonimisering werk vir enige bedryf wat persoonlike data hanteer. Kontak ons om jou spesifieke behoeftes te bespreek.
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.