Odkrivanje in anonimizacija PII na ravni podjetja
Regex patterns for structured data, proven ML models for names. Transparent, auditable results on Hetzner's ISO 27001-certified servers in Germany.
Zakaj izbrati 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.
Izvedite več o naši tehnologiji →Hetzner Germany, ISO 27001 Certified
Vsa obdelava poteka v podatkovnih centrih Hetzner, certificiranih po ISO 27001 v Nemčiji. Vaši podatki ostanejo v EU brez presenečenj glede jurisdikcije.
Ogled podrobnosti o varnosti →Cenik na osnovi žetonov, ki ga razumete
Plačajte za tisto, kar uporabljate, z našim preglednim sistemom žetonov. Brezplačni nivo vključuje 200 žetonov (~15-18 strani/mesec). Brez skritih stroškov, brez presenečenj.
Oglejte si cenik →Integracija AI z zaščito zasebnosti
Povežite svoja AI orodja, kot sta Cursor in Claude Desktop, medtem ko ohranjate svoje občutljive podatke varne z avtomatsko anonimizacijo PII.
Your AI Tool
(Cursor, Claude)
MCP Server
(Anonymizes PII)
AI Processes
(Safe data only)
Restore Values
(Optional)
MCP strežnik deluje kot zaščita zasebnosti med vašimi AI orodji in občutljivimi podatki. Samodejno odkriva in anonimizira PII, preden jih pošlje AI, nato pa obnovi izvirne vrednosti v odgovorih—zagotavljajoč, da AI nikoli ne vidi vaših pravih podatkov.
Brezšivna integracija AI orodij
Deluje z Cursor, Claude Desktop in drugimi orodji, združljivimi z MCP
Arhitektura, osredotočena na zasebnost
AI obdeluje samo anonimizirane podatke—izvirni PII nikoli ne zapusti vaše kontrole
Obrnljiva anonimizacija
Tokenizacija vam omogoča obnovitev izvirnih vrednosti, ko je to potrebno
Enaka cena žetonov
Uporablja vašo obstoječo ravnotežje žetonov—brez dodatnih stroškov
Podprta AI orodja:
Na voljo v Pro in Business načrtih. Nadgradite, da odklenete.
Varnostno obdelujte dokumente
Največja zasebnost z varnim ravnanjem s datotekami. Dokumenti ostanejo na vaši napravi — samo izpisano besedilo se pošlje na analizo.
Drag & Drop
(Your files)
Local Processing
(On your device)
Analyze & Anonymize
(Text only)
Save Result
(Stay local)
Namizna aplikacija obdeluje dokumente v celoti na vaši napravi. Datoteke se berejo lokalno, samo izpisano besedilo se pošlje na analizo, vaši dokumenti pa ostanejo zasebni.
Varnostno ravnanje s datotekami
Dokumenti ostanejo na vašem računalniku — samo izpisano besedilo se pošlje našemu varnemu API-ju
Šifrirano lokalno shranjevanje
Zgodovina, prednastavitve in šifrirni ključi shranjeni v vašem šifriranem lokalnem trezorju
Vmesnik za povleci in spusti
Preprost, intuitiven delovni tok—povlecite datoteke in takoj dobite rezultate
Več formatov
PDF, DOCX, TXT in še več—obdelajte katerikoli tip dokumenta
Na voljo za:
Odkrivanje imen, e-poštnih naslovov, telefonskih številk, kreditnih kartic, SSN-jev, IBAN-ov, IP naslovov in še več v več kategorijah.
Polna podpora za 48 jezikov, vključno z angleščino, nemščino, španščino, francoščino in še 43 drugimi z RTL podporo za arabščino, hebrejščino, perzijščino in urdu. Podprto z NLP motorji spaCy, Stanza in XLM-RoBERTa.
Zamenjajte, očrnite, hash (SHA-256), šifrirajte (AES-256-GCM) ali maskirajte—izberite metodo zaščite, ki ustreza vašemu uporabniškemu primeru.
Zanesljivost na ravni podjetja z nadzorom, avtomatiziranimi varnostnimi kopijami in postopki odzivanja na incidente.
Brezplačni vodniki za skladnost in varnost
Prenesite strokovne vire, ki vaši organizaciji pomagajo zaščititi občutljive podatke in izpolnjevati zahteve skladnosti.
Kontrolni seznam skladnosti z GDPR
50-točkovni revizijski okvir
14 pages • PDF
Vodnik za preprečevanje uhajanja podatkov pri AI
Zaščitite podatke pred orodji GenAI
18 pages • PDF
Priročnik za skladnost s HIPAA
Pokriva vseh 18 identifikatorjev PHI
22 pages • PDF
Študija primera anonimizacije PII
Analiza hibridne arhitekture
11 pages • PDF
Oglejte si, kako deluje
Oglejte si, kako anonym.legal v realnem času ščiti občutljive podatke v vaših priljubljenih orodjih.

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
Pripravljeni zaščititi svoje podatke?
Začnite z našim brezplačnim nivojem—200 žetonov na cikel, brez potrebe po kreditni kartici.
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.