Detekcija i Anonimizacija PII na Razini Poduzeća
Regex patterns for structured data, proven ML models for names. Transparent, auditable results on Hetzner's ISO 27001-certified servers in Germany.
Zašto Odabrati 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 odvija se u Hetznerovim ISO 27001-certificiranim podatkovnim centrima u Njemačkoj. Vaši podaci ostaju u EU bez iznenadnih jurisdikcijskih problema.
Pogledajte detalje o sigurnosti →Cijene Temeljene na Tokenima koje Možete Razumjeti
Plaćajte za ono što koristite s našim transparentnim sustavom tokena. Besplatni nivo uključuje 200 tokena (~15-18 stranica/mjesec). Bez skrivenih troškova, bez iznenađenja.
Pogledajte cijene →AI Integracija s Zaštitom Privatnosti
Povežite svoje AI alate poput Cursor i Claude Desktop dok čuvate svoje osjetljive podatke sigurnima s automatskom PII anonimizacijom.
Your AI Tool
(Cursor, Claude)
MCP Server
(Anonymizes PII)
AI Processes
(Safe data only)
Restore Values
(Optional)
MCP Server djeluje kao zaštita privatnosti između vaših AI alata i osjetljivih podataka. Automatski detektira i anonimizira PII prije slanja AI-u, a zatim vraća izvorne vrijednosti u odgovorima—osiguravajući da AI nikada ne vidi vaše stvarne podatke.
Besprijekorna Integracija AI Alata
Radi s Cursor, Claude Desktop i drugim MCP-kompatibilnim alatima
Arhitektura Usmjerena na Privatnost
AI obrađuje samo anonimizirane podatke—izvorni PII nikada ne napušta vašu kontrolu
Obrnuta Anonimizacija
Tokenizacija vam omogućuje vraćanje izvornih vrijednosti kada je to potrebno
Ista Cijena Tokena
Koristi vaš postojeći saldo tokena—bez dodatnih troškova
Podržani AI Alati:
Dostupno na Pro i Business planovima. Nadogradite za otključavanje.
Sigurno Obradite Dokumente
Maksimalna privatnost s sigurnim rukovanjem datotekama. Dokumenti ostaju na vašem uređaju — samo ekstraktirani 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 ekstraktirani tekst se šalje na analizu, a vaši dokumenti ostaju privatni.
Sigurno Rukovanje Datotekama
Dokumenti ostaju na vašem računalu — samo ekstraktirani tekst se šalje našem sigurnom API-ju
Šifrirano Lokalno Pohranjivanje
Povijest, postavke i ključevi za šifriranje pohranjeni u vašem šifriranom lokalnom trezoru
Drag & Drop Sučelje
Jednostavan, intuitivan radni proces—prevucite datoteke i odmah dobijte rezultate
Više Formata
PDF, DOCX, TXT i više—obradite bilo koju vrstu dokumenta
Dostupno za:
Detektirajte imena, e-mailove, telefonske brojeve, kreditne kartice, SSN-ove, IBAN-ove, IP adrese i još mnogo toga u više kategorija.
Potpuna podrška za 48 jezika uključujući engleski, njemački, španjolski, francuski i još 43 s RTL podrškom za arapski, hebrejski, perzijski i urdu. Pokreće spaCy, Stanza i XLM-RoBERTa NLP motori.
Zamijeni, Redigiraj, Hash (SHA-256), Šifriraj (AES-256-GCM) ili Maskiraj—odaberite metodu zaštite koja odgovara vašem slučaju korištenja.
Pouzdanost razine poduzeća s praćenjem, automatiziranim sigurnosnim kopijama i postupcima odgovora na incidente.
Besplatni vodiči za usklađenost i sigurnost
Preuzmite stručne resurse koji će pomoći vašoj organizaciji u zaštiti osjetljivih podataka i ispunjavanju zahtjeva za usklađenost.
GDPR kontrolni popis za usklađenost
Okvir za reviziju od 50 točaka
14 pages • PDF
Vodič za curenje podataka AI
Zaštitite podatke od GenAI alata
18 pages • PDF
Priručnik za usklađenost s HIPAA-om
Svi 18 identifikatora PHI pokriveni
22 pages • PDF
Studija slučaja o anonimnosti PII
Analiza hibridne arhitekture
11 pages • PDF
Pogledajte u akciji
Pogledajte kako anonym.legal štiti osjetljive podatke u stvarnom vremenu 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 za Zaštitu Vaših Podataka?
Započnite s 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.