By George Curta · Last updated 2026-04-07
Zgrajeno za Vsako Industrijo
Od zagonskih podjetij do velikih podjetij, poglejte, kako organizacije v različnih industrijah uporabljajo anonym.legal za zaščito občutljivih podatkov in ohranjanje skladnosti.
Začnite brezplačno preizkušnjoZaščita AI in GenAI
Ustavite uhajanje podatkov v ChatGPT, Claude in Copilot
77% zaposlenih prilepi občutljive podatke v orodja AI. GenAI je zdaj #1 kanal za izčrpavanje podatkov.
Razširitev za Chrome prestreza PII, preden doseže modele AI. Lokalno obdelovanje. Brez izpostavljenosti podatkov.
Velika podjetja
Skladnost z GDPR in zaščita podatkov v velikem obsegu
Velike organizacije obravnavajo milijone dokumentov, ki vsebujejo osebne podatke, v več oddelkih.
Centralizirano odkrivanje in anonimizacija PII z revizijskimi sledmi, dostopom na podlagi vlog in obdelavo po serijah.
SMB in Startupi
Varnost podjetij po cenah startupov
94% SMB-jev je bilo napadenih v letu 2024. Orodja za podjetja stanejo 800 $+/mesec.
Enakih 285+ vrst entitet in 48 jezikov. Začne brezplačno, raste do 3 €/mesec.
Razvijalci
Testna okolja in CI/CD cevi
Razvojne ekipe potrebujejo realne testne podatke, ne da bi razkrile produkcijske PII.
Integracija API za avtomatizirano anonimizacijo v CI/CD ceveh, generiranje varnih testnih nizov podatkov.
Pravno
Anonimizacija pogodb in e-odkrivanje
Odvetniške pisarne morajo redigirati občutljive informacije iz pogodb, sodnih vlog in dokumentov za odkrivanje.
Natančna redakcija z revizijskimi sledmi za pravno skladnost in proizvodnjo dokumentov.
Zdravstvo
Zaščita podatkov pacientov in podpora HIPAA
Zdravstveni ponudniki morajo zaščititi informacije pacientov, hkrati pa omogočiti raziskave in analitiko.
Anonimizacija, usklajena s HIPAA, za medicinske zapise, raziskovalne podatke in administrativne dokumente.
Finančno
Skladnost s PCI-DSS in preprečevanje goljufij
Finančne institucije obravnavajo občutljive podatke strank, ki so predmet strogih regulativnih zahtev.
Skladna anonimizacija za transakcijske zapise, podatke strank in regulativno poročanje.
Raziskave
Deljenje akademskih podatkov in publikacije
Raziskovalci morajo deliti nize podatkov, pri čemer ščitijo zasebnost udeležencev.
Dosledna pseudonimizacija za raziskovalne nize podatkov, ki omogoča sodelovanje in publikacijo.
Vlada
Javni dokumenti in skladnost s FOIA
Vladne agencije morajo objaviti javne dokumente, hkrati pa zaščititi zasebnost državljanov.
Avtomatizirana redakcija za FOIA zahteve, javne dokumente in medagencijsko deljenje.
Suverenost podatkov
Obdelava podatkov, gostovana v Nemčiji, izključno v EU.
Čezmejni prenosi podatkov izpostavljajo organizacije US Cloud Act in globam po GDPR.
100-odstotna nemška infrastruktura brez ponudnikov oblačnih storitev iz ZDA. Skladnost s Schrems II že po zasnovi.
Ne vidite svoje industrije?
Naše odkrivanje in anonimizacija PII deluje za katero koli industrijo, ki obravnava osebne podatke. Kontaktirajte nas, da se pogovorimo o vaših specifičnih potrebah.
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.