Öflugar Eiginleikar fyrir Fullkomna Gögnavernd
Allt sem þú þarft til að greina, greina og nafnleynda persónuupplýsingar í skjölum þínum með öryggi í fyrirtækjaflokki.
Sjáðu í Aðgerð
Sjáðu hvernig anonym.legal verndar viðkvæm gögn í öllum verkfærum þínum.

PII Greining
Greindu 285+ gerðir, þar á meðal nöfn, tölvupósta, símanúmer, kreditkort, SSN, IBAN, IP heimildir og fleira í mörgum flokkum.
- 285+ gerðir
- Mynsturgrundað greining
- Trausts mat
- Sérsniðin aðstoð við gerðir
Nafnleyndaraðferðir
Veldu úr 5 sönnuðum nafnleyndaraðferðum: Skipta, Raða, Hash (SHA-256), Dulkóða (AES-256-GCM), eða Maskera til að uppfylla kröfur um samræmi.
- Skipta út fyrir falskar upplýsingar
- Raða alveg
- Hasha með SHA-256
- Dulkóða með AES-256-GCM
- Maskera að hluta
Fjöltyngd Stuðningur
Fullur stuðningur við 48 tungumál með snjallri NLP úrvinnslu. Inniheldur RTL stuðning fyrir arabísku, hebresku, persnesku og úrdu.
- 48 tungumál studd
- 4 RTL tungumál (arabíska, hebreska, persneska, úrdu)
- Sjálfvirk tungumálagreining
- Blandað tungumálaskjöl
- Lágt hlaðin NLP líkön
MCP Server
Innbyggð Claude Desktop samþætting plús HTTP fyrir Cursor & VS Code. 6 aðgerðir, gerðahópar, persónulegar dulkóðunarlyklar.
- Virkar með Claude Desktop og Cursor
- 6 aðgerðir (dulkóða, hash, maska...)
- Gerðahópar & forstillt
- Persónulegir dulkóðunarlyklar
Office-viðbót
Gerðu skjöl nafnlaus beint í Microsoft Word, Excel og PowerPoint. 285+ einingategundir, 5 aðferðir, forskoðunarstilling og forstillingar.
- Word, Excel og PowerPoint
- 285+ einingategundir
- 5 nafnleyndaraðferðir
- Forskoðun og forstillingar
API Samþætting
RESTful API fyrir þróunaraðila til að samþætta PII greiningu og nafnleynd í hvaða forrit eða vinnuflæði sem er. Full skjöl tiltæk.
- RESTful endapunktar
- JWT auðkenning
- Hraðamörk
- Alhliða skjöl
Batch Úrvinnsla
Úrvinnsla á mörgum skjölum í einu með okkar batch úrvinnslufunkun. Fyrirtækjaplan styðja allt að 100 skjöl á batch.
- Fjölskjalaupplýsingar
- Samhliða úrvinnsla
- Framvindu skráning
- Hópur niðurhal
Desktop Forrit
Halda skjölum á tækinu þínu meðan þú notar skýjaþjónustu til að greina aðila. Aðeins útdrættur texti er sendur í greiningu.
- Skjölin eru á tækinu þínu
- Varnarskápur með hernaðargráðu dulkóðun
- Dulkóðuð staðarsaga
- Windows, macOS, Linux
Chrome viðbót
Verndaðu persónuvernd þína þegar þú notar ChatGPT, Claude og Gemini. Greindu sjálfkrafa og gerðu PII nafnlaus áður en þú sendir skilaboð til AI spjallbotta.
- ChatGPT, Claude, Gemini stuðningur
- PII grip í rauntíma
- Aftur nafnlaus í svörum
- Fyrirtækjafyrirkomulag tilbúið
Zero-Knowledge Öryggi
Lykilorðið þitt fer ALDREI af tækinu þínu. Við notum dulkóðunarvottorð til að staðfesta þig án þess að sjá lykilorðið þitt - öruggasta leiðin til að vernda reikninginn þinn.
- Lykilorð aldrei sent
- 24 orða endurheimtarfraze
- Argon2id + XChaCha20-Poly1305
- Virkar á öllum pallum
Af hverju að velja anonym.legal?
Transparent, auditable results you can trust for regulatory compliance
Our Approach: Hybrid Detection
- Regex for structured data (emails, SSN, credit cards)
- Proven ML models for names and organizations
- Fully auditable for compliance
- Transparent pattern matching
- Fast, consistent performance
Generative AI Solutions
- ⚠️Niðurstöður breytast milli keyrslna
- ⚠️Black box ákvarðanataka
- ⚠️Krafist þjálfunargagna
- ⚠️Líkansveifla yfir tíma
- ⚠️Hærri útreikningskostnaður
Frequently Asked Questions
How many entity types does anonym.legal detect?
anonym.legal detects 285+ entity types including names, addresses, phone numbers, emails, SSNs, credit cards, IBANs, medical record numbers, and many more. All entity types support checksum validation where applicable.
What languages are supported for PII detection?
We support 48 languages including English, German, French, Spanish, Italian, Portuguese, Dutch, Polish, Russian, Chinese, Japanese, Korean, Arabic, Hebrew, and many more. Each language has optimized NER models.
What anonymization methods are available?
Five methods: Replace (with placeholder), Mask (partial hiding), Hash (SHA-256/SHA-512), Encrypt (AES-256-GCM reversible), and Redact (complete removal). Each entity can use a different method.
Can I use anonym.legal offline?
The Desktop App allows local file handling, but PII detection requires an internet connection to our secure API. For fully air-gapped environments, contact us about on-premise deployment.
Is there an API for developers?
Yes! We offer a REST API and an MCP Server for AI tool integration. The API supports analyze, anonymize, and batch processing endpoints. See our API documentation for details.
Ertu tilbúinn að byrja?
Prófaðu alla eiginleika frítt með 200 tokens á hring. Engin kreditkort nauðsynleg.
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.