PII Detekcija i Anonimizacija na nivou preduzeća
Regex patterns for structured data, proven ML models for names. Transparent, auditable results on Hetzner's ISO 27001-certified servers in Germany.
Zašto izabrati anonym.legal
Deterministic Pattern Detection
Regex patterns for structured data (emails, SSNs, credit cards) give 100% reproducible results. ML-based NER for names and organizations provides high consistency. Fully auditable for compliance.
Saznajte više o našoj tehnologiji →Hetzner Germany, ISO 27001 Certified
Sva obrada se dešava u Hetznerovim ISO 27001 sertifikovanim data centrima u Nemačkoj. Vaši podaci ostaju u EU bez iznenađenja u vezi sa jurisdikcijom.
Pogledajte detalje o bezbednosti →Cene zasnovane na tokenima koje možete razumeti
Plaćajte za ono što koristite sa našim transparentnim sistemom tokena. Besplatni nivo uključuje 200 tokena (~15-18 stranica/mesečno). Nema skrivenih troškova, nema iznenađenja.
Pogledajte cene →AI Integracija sa Zaštitom Privatnosti
Povežite svoje AI alate kao što su Cursor i Claude Desktop dok čuvate svoje osetljive podatke sigurnim automatskim PII anonimizacijom.
Your AI Tool
(Cursor, Claude)
MCP Server
(Anonymizes PII)
AI Processes
(Safe data only)
Restore Values
(Optional)
MCP Server deluje kao zaštita privatnosti između vaših AI alata i osetljivih podataka. Automatski detektuje i anonimizuje PII pre slanja AI, a zatim vraća originalne vrednosti u odgovorima—osiguravajući da AI nikada ne vidi vaše prave podatke.
Besprekorna Integracija AI Alata
Radi sa Cursor, Claude Desktop i drugim MCP-kompatibilnim alatima
Arhitektura sa Prioritetom na Privatnosti
AI obrađuje samo anonimizovane podatke—originalni PII nikada ne napušta vašu kontrolu
Obrnuta Anonimizacija
Tokenizacija vam omogućava da vratite originalne vrednosti kada je to potrebno
Ista Cena Tokena
Koristi vaš postojeći saldo tokena—nema dodatnih troškova
Podržani AI alati:
Dostupno na Pro i Business planovima. Nadogradite da otključate.
Obradite dokumente sigurno
Maksimalna privatnost sa sigurnim rukovanjem datotekama. Dokumenti ostaju na vašem uređaju — samo ekstraktovani tekst se šalje na analizu.
Drag & Drop
(Your files)
Local Processing
(On your device)
Analyze & Anonymize
(Text only)
Save Result
(Stay local)
Desktop Aplikacija obrađuje dokumente potpuno na vašem uređaju. Datoteke se čitaju lokalno, samo ekstraktovani tekst se šalje na analizu, a vaši dokumenti ostaju privatni.
Sigurno Rukovanje Datotekama
Dokumenti ostaju na vašem računaru — samo ekstraktovani tekst se šalje našem sigurnom API-ju
Enkriptovana Lokalna Pohrana
Istorija, unapred podešeni i ključevi za enkripciju pohranjeni u vašem enkriptovanom lokalnom trezoru
Drag & Drop Interfejs
Jednostavan, intuitivan radni tok—prevucite datoteke i odmah dobijte rezultate
Više Formata
PDF, DOCX, TXT i više—obradite bilo koju vrstu dokumenta
Dostupno za:
Detektujte imena, e-mailove, brojeve telefona, kreditne kartice, SSN-ove, IBAN-ove, IP adrese i još mnogo toga kroz više kategorija.
Potpuna podrška za 48 jezika uključujući engleski, nemački, španski, francuski i još 43 sa RTL podrškom za arapski, hebrejski, persijski i urdu. Pokreće spaCy, Stanza i XLM-RoBERTa NLP motori.
Zameni, Redakuj, Hashuj (SHA-256), Enkriptuј (AES-256-GCM) ili Maskiraj—izaberite metodu zaštite koja odgovara vašem slučaju korišćenja.
Pouzdanost na nivou preduzeća sa nadzorom, automatskim rezervnim kopijama i procedurama odgovora na incidente.
Besplatni vodiči za usklađenost i bezbednost
Preuzmite stručne resurse koji pomažu vašoj organizaciji da zaštiti osetljive podatke i ispuni zahteve usklađenosti.
Kontrolna lista usklađenosti sa GDPR
Revizijski okvir sa 50 tačaka
14 pages • PDF
Vodič za sprečavanje curenja podataka povezanih sa AI
Zaštitite podatke od GenAI alata
18 pages • PDF
Priručnik za usklađenost sa HIPAA
Obuhvata svih 18 PHI identifikatora
22 pages • PDF
Studija slučaja anonimizacije PII
Analiza hibridne arhitekture
11 pages • PDF
Pogledajte kako radi
Pogledajte kako anonym.legal u realnom vremenu štiti osetljive podatke u vašim omiljenim alatima.

Latest Insights
Research, guides, and analysis on data privacy
Japan My Number: Verhoeff & APPI
63% of generic tools fail My Number detection in Japanese documents. My Number uses Verhoeff algorithm — the most complex national ID checksum in Asia.
HDPA Greece: AFM & AMKA Detection
Greek AFM detected with 52% accuracy by generic tools. HDPA issued 89 decisions in 2024 — up 162% from 2022. Tourism and maritime sectors face distinct.
NAIH Hungary: TAJ-Szám and Adóazonosító Jel
Hungarian NER accuracy is 67% vs. EU average 82% — NAIH's 2024 assessment. TAJ-szám weighted checksum and adóazonosító jel detection gaps.
Explore anonym.legal
Spremni da zaštitite svoje podatke?
Započnite sa našim besplatnim nivoom—200 tokena po ciklusu, bez potrebe za kreditnom karticom.
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.