By George Curta · Last updated 2026-07-25
PII Anonimizavimas Sprendimai
Specialiai sukurti anonimizavimo procesai AI apsaugai, GDPR atitiktiai, naršyklės duomenų praradimo prevencijai ir įmonių GenAI valdymui.
Pramonės šakos ir praktikos sritys
Užduočiai skirti anonimizavimo darbo srautai pagal pramonės šaką ir praktikos sritį.
Recht & Kanzleien
NaršytiFinanzen & Steuern
NaršytiPersonal & HR
NaršytiUnited Kingdom — UK GDPR & DPA 2018
NaršytiFrance — RGPD & frameworks nationaux
NaršytiEspaña — RGPD & LOPDGDD
NaršytiUnited States — CCPA, HIPAA & federal frameworks
NaršytiGesundheitswesen
NaršytiVersicherungen
NetrukusNaršytiÖffentlicher Sektor
NetrukusNaršyti
Sprendimai pagal naudojimo atvejį
Specialiai sukurti darbo srautai konkretiems AI, atitikties ir duomenų apsaugos uždaviniams.
ChatGPT Duomenų Apsauga
Užkirsti kelią jautriems duomenims nutekėti į ChatGPT ir kitus AI asistentus. Automatiškai aptikti PII, anonimizuoti prieš siuntimą, deanonimizuoti atsakymus.
Chrome PapildinysRealaus laikoAtstatomasSužinoti daugiauGDPR Anonimizavimas
Atitikti GDPR 4(1) straipsnio reikalavimus su sertifikuota anonimizacija. 267+ subjektų tipai, 48 kalbos, auditui paruošti ataskaitos.
GDPRAtitiktis48 KalbosSužinoti daugiauAI Duomenų Nutekėjimo Prevencija
Sustabdykite GenAI iškrovimą prieš jam įvykstant. Perimkite PII naršyklės lygyje prieš tai, kai jis pasiekia AI API, žurnalus ar trečiųjų šalių serverius.
DLPGenAIĮmonėSužinoti daugiauNaršyklės DLP
Duomenų praradimo prevencija tiesiogiai naršyklėje. Apsaugokite duomenis, įklijuotus į SaaS programas, AI įrankius ir interneto formas be proxy ar agentų.
NaršyklėNėra proxySaaSSužinoti daugiauGenAI DLP
Valdykite, kokie duomenys patenka į jūsų AI sistemą. Aptikti, redaguoti ir audituoti PII visose GenAI darbo srautuose — LLM API, RAG vamzdynuose ir kt.
LLMRAGAuditasSužinoti daugiauVibe Coding Saugumas
73% AI-generuotų programų apdoroja jautrius duomenis be anonimizacijos. Automatiškai apsaugokite PII Cursor, Windsurf ir Claude Desktop darbo srautuose.
MCP ServerCursor IDEAI KodasSužinoti daugiau
One honest limitation
No single product surface — Chrome Extension, MCP Server, REST API, or Desktop App — provides complete PII coverage alone. This is a genuine limitation of the multi-surface design: installing only one integration point leaves other data paths, such as a different browser or an uncovered API call, unprotected. Full-stack coverage requires deliberately combining the surfaces that match your actual workflows.
Pasiruošę apsaugoti savo duomenis?
Pradėkite nemokamai — 200 žetonų/mėn., nereikia kredito kortelės. Visi 267+ subjektų tipai ir 48 kalbos įtraukti.
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
We follow these rules
- GDPR (EU 2016/679).
- ISO/IEC 27001:2022, held by our hosting provider.
- 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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.
Hetzner holds 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
Automated checks run on every release.
Each surface gets its own sweep script and report.
Human reviewers spot-check the output each week.
We test detection against sample documents before each release.
A failing unit or integration run stops the release.
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.
Paid plans can buy top-up credits.
Credits reset at the end of each cycle.
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.