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Späť na blogGDPR a Dodržiavanie

Jeden nastroj, 45 krajin: 260+ entit

Brazilske CPF ma kontrolne cifry. Indicky PAN je 10-znakovy alfanumericky retazec. Europske IBANy sa lisia podla krajiny. Globalne e-commerce platformy si nemozu dovolit pouzivat oddelene nastroje.

March 25, 20267 min čítania
global PII compliance260 entity typesBrazilian CPFIndian PANIBAN formats

Jeden nastroj, 45 krajin: 260+ entit

Globalne platformy spracuvaju osobne udaje z mnohych krajin sucasne. Kazda krajina ma vlastne formaty identifikatorov. Kazdy format ma vlastne pravidla. Jeden detekeny nastroj musi zvladnut vsetky. Vacsina nastrojov to nezvlada.

Problem fragmentacie identifikatorov

Marketplace s predajcami v 45 krajinach dostava velmi rozne registracne dokumenty. Brazilsky predajca predklada CPF. Ma 11 cifier. Dve su kontrolne. Pouzivaju specificku vazobnu formulu. Indicky predajca predklada PAN. Ma 10 znakov. Pismena a cifry sa objavuju na pevnych poziciach. Nemecky predajca predklada Steuer-ID. Ma 11 cifier a Luhnov kontrolny sucet. Holandsky predajca predklada BSN. Ma 9 cifier a pouziva validaciu mod-11.

Kazdy format ma inu dlzku a strukturu. Jeden regex vytvoreny pre jeden format nebude pasovat na ostatne. Siroky vzor "10-12 cifier" zachyti prilis vela. Oznacuje ceny, datumy a referencne cisla. Pocet falzivych pozitivnych vysledkov rychlo rastie vo velkej mierke.

Medzera 40 identifikatorov

Vacsina podnikovych nastrojov na ochranu PII je dodavana s priblizne 40 typmi identifikatorov. Bezne typy zahrnaju:

  • Americke cislo socialneho poistenia (SSN)
  • Format americkeho pasu
  • Americke ridicske preukazy
  • Genericke formaty kreditnych kariet s Luhnovou validaciou
  • E-mailove adresy
  • Telefonne cisla vo formate NANP
  • IP adresy

Tieto pokryvaju severoamericku zhodu dobre. Nepokryvaju globalne operacie.

Ako medzera vyzera podla regionu

Juzna Amerika: Brazilske CPF a CNPJ pouzivaju kontrolne algoritmy brazilskeho financneho uradu. Argentinska CUIT pouziva inu formulu so vazenym sucinanim. Kolumbijska NIT ma vlastnu validacnu metodu. Ziadna z nich nezodpoveda americkim vzorom.

Azia: Indicky PAN, Aadhaar, GSTIN a volebne preukazy maju kazdy odlisny format. Japonske My Number ma 12 cifier. Juznokorejske registracne cislo obyvatela a cinske narodni ID vyzaduju vlastne rozpoznavace.

Clenske staty EU: Uplne pokrytie EU vyzaduje formaty IBAN pre vsetkych 27 clenskych statov. Kazdy ma specifiku dlzku a format podla krajiny. Vyzaduje tiez format narodneho ID. To zahrnuje nemecke Steuer-ID, francuzske NIR, holandske BSN, polske PESEL a svedzke Personnummer. Tiez slovinskie EMSO, chorvatske OIB, bulharske EGN a rumunske CNP.

Co pokryva kniZnica 260+ typov entit

Kniznica 260+ entit pokryva vsetkych 27 narodnych ID clenskych statov EU. Validuje vsetky formaty IBAN v EU. Pokryva juhoamericke ID: brazilske CPF a CNPJ, argentinsku CUIT, kolumbijsku NIT. Pokryva azijske ID: indicky PAN, Aadhaar, GSTIN, japonske My Number, korejske RRN. Pokryva britske ID: NI Number, NHS Number, varianty NINO. Pokryva zdravotne ID: americke NPI, cisla DEA, formaty MRN nemocnic. Pokryva financne ID: kody SWIFT, formaty BIC, vzory cisiel uctov.

Preco je pokrytie detekcie otazkou zhody

Kazdy ramec vyzaduje, aby boli jeho identifikatory najdene a chranene. GDPR pokryva udaje predajcov z EU. LGPD pokryva brazilske udaje predajcov. Indicky zakon DPDP pokryva indické udaje predajcov.

"Primeranna ochrana" znamena, ze nastroj identifikator nasiel. Vynechany Aadhaar nie je zlyhanie konfiguracie. Je to zlyhanie pokrytia. Pre globalne platformy je tento rozdiel rozdielom medzi ciastocnou zhodou a skutocnou ochranou.

Jedno nasadenie s pokrytim 260+ entit zvladne vsetky tieto jurisdikcie. Ziadne oddelene regionalne nastroje. Ziadne oddelene spracovatelske pipelines. Ziadne rucne obohacovanie pre formaty, ktore nastroj so 40 rozpoznavacmi nevie zachytit.

Podrobnosti o tom, ako sa pokrytie mapuje na povinnosti GDPR, najdete na stranke zdroje pre zhodu s GDPR. Informacie o auditnych zaznamoch a zasadach aktualizacii najdete v bezpecnostnych a kompatibilnych podrobnostiach.

Zdroje

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63% of generic tools fail My Number detection in Japanese documents. My Number uses Verhoeff algorithm — the most complex national ID checksum in Asia.

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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.
  • 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.
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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

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.