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CNPD Ureno: Mahitaji ya PII ya GDPR + LGPD

CNPD ya Ureno inaunganisha GDPR ya EU na LGPD ya Brazil kwa wasemaji zaidi ya milioni 215 wa Kireno. Faini ya EUR 2.5M kwa anonymization duni ya rekodi za wagonjwa.

June 6, 20268 dakika kusoma
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CNPD Ureno: Utiifu wa PII wa GDPR na LGPD

Mamlaka ya faragha ya Ureno ni CNPD. Inatekeleza GDPR ya EU. Pia inaunganisha sheria ya faragha ya EU na Brazil. Hiyo inashughulikia wasemaji zaidi ya milioni 215 wa Kireno.

Mwaka 2024, CNPD ilitoa maamuzi 42 ya utekelezaji. Moja ilikuwa faini ya EUR 2.5 milioni dhidi ya hospitali ya Kireno. Sababu: anonymization duni ya rekodi za wagonjwa. Ni moja ya faini kubwa zaidi za GDPR za huduma za afya Ulaya Kusini.

Daraja la GDPR na LGPD

Sheria mbili za faragha zinashughulikia ulimwengu unaozungumza Kireno.

EU GDPR inatumika Ureno. Faini ya juu: EUR 20 milioni au asilimia 4 ya mapato ya kimataifa. CNPD inatekeleza.

LGPD ya Brazil — Sheria Na. 13,709/2018 — inatumika Brazil. Faini ya juu: asilimia 2 ya mapato ya Brazil, hadi R$50 milioni kwa ukiukwaji (takriban EUR 9M). ANPD ya Brazil inatekeleza. Faini kuu za kwanza zilikuja mwaka 2024.

Makampuni zaidi ya 2,400 yana mtiririko hai wa uhamishaji wa EU-Brazil. EU haina makubaliano ya kutosha na Brazil. Uhamishaji wa EU-Brazil unahitaji Vipengele vya Kimkataba Bora au zana ya Kifungu cha 46.

Kwa maelezo zaidi, angalia mwongozo wetu wa anonymization wa LGPD.

Faini ya Hospitali: Sheria Tatu

Faini ya EUR 2.5 milioni iliweka sheria tatu wazi.

Sera hazitoshi. Hospitali ilisema rekodi zake za utafiti zilifanyiwa anonymization. Wakaguzi wa CNPD waligundua nambari za NIF, tarehe za kuzaliwa, na nambari za ugonjwa bado zipo. Taarifa hiyo ingeweza kutambua tena wagonjwa. Sera iliyoandikwa si suluhisho la kiufundi.

Msamaha wa utafiti bado unahitaji anonymization ya kweli. Hospitali ilirejelea GDPR Kifungu cha 89 — msamaha wa utafiti. CNPD ilisema hapana. Msamaha bado unahitaji ulinzi wa kiufundi wa kweli.

Faini za rekodi za afya ni kubwa zaidi. GDPR Kifungu cha 9 inashughulikia rekodi za afya kama jamii maalum. Faini ilionyesha hili. Wagonjwa 23,000 waliathirika. Hospitali haikuwa na mchakato wa uthibitishaji.

PII ya Kireno dhidi ya PII ya Brazil

Kireno ni lugha moja. Lakini Ureno na Brazil wana mifumo tofauti ya vitambulisho. "Usaidizi wa lugha ya Kireno" katika zana ya PII haitoshi.

Vitambulisho vya Ureno (EU):

  • NIF — Nambari ya kodi ya tarakimu 9. Kitambulisho kuu cha raia. Ina algorithm ya tarakimu ya ukaguzi. VERIFIED
  • NIS — Nambari ya bima ya jamii ya tarakimu 11. VERIFIED
  • Cartão de Cidadão — Kadi ya raia ya tarakimu 8 yenye kiambishi cha herufi. VERIFIED
  • Pasipoti — Muundo wa kiwango cha EU. VERIFIED

Vitambulisho vya Brazil (LGPD):

  • CPF — Nambari ya walipa kodi ya tarakimu 11. Tarakimu mbili za ukaguzi. Njia tofauti na NIF. VERIFIED
  • CNPJ — Usajili wa kampuni wa tarakimu 14. VERIFIED
  • RG — Kitambulisho kilichotolewa na serikali ya jimbo. Muundo hutofautiana kwa jimbo. São Paulo hutofautiana na Rio de Janeiro. VERIFIED
  • CNH — Leseni ya udereva ya tarakimu 11. VERIFIED
  • Título de Eleitor — Kitambulisho cha mpigakura cha tarakimu 12. VERIFIED
  • PIS/PASEP — Nambari ya programu ya kijamii ya tarakimu 11. Inapatikana katika rekodi za mishahara. VERIFIED

Zana inayopata NIF inaweza kukosa CPF. Kinyume chake pia ni kweli. Kila nchi inahitaji mantiki yake ya utambuzi.

Angalia mwongozo wetu wa utambuzi wa PII wa lugha nyingi kwa maelezo zaidi kuhusu mapengo ya lugha mchanganyiko.

Sheria za Uhamishaji wa EU-Brazil

Mwongozo wa CNPD wa 2024 ulihusu uhamishaji wa EU-Brazil.

SCCs zinahitaji Tathmini Sahihi za Athari ya Uhamishaji. SCCs ndiyo zana kuu. Lakini kila moja inahitaji TIA inayoonyesha Brazil inatoa ulinzi sawa. CNPD iligundua kwamba TIA nyingi hazikupita mtihani huu.

Uchakataji unaofanywa EU huondoa hatari ya uhamishaji. Baadhi ya makampuni huweka rekodi zote katika mifumo ya EU. Taarifa yoyote ya moja kwa moja ya kibinafsi haendi Brazil. Hii inafanya kazi kwa sheria zote mbili. GDPR inashughulikia uchakataji. LGPD inashughulikia rekodi za raia wa Brazil. Lakini hakuna uhamishaji wa mipakani unaotokea.

Kwa mashirika yaliyoko katika masoko yote mawili: utambuzi maradufu ni kiwango cha chini. NIF na NIS kwa Ureno. CPF, CNPJ, RG, CNH, Título de Eleitor, na PIS/PASEP kwa Brazil. Sheria zote mbili zinahitaji hii kuonyesha udhibiti wa kutosha wa kiufundi.

Vyanzo

Tayari kulinda data yako?

Anza kuanonymisha PII na aina 285+ za vitu katika lugha 48.

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.
  • 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

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.