anonym.legal

By · Last updated 2026-06-05

Վերադառնալ բլոգինGDPR & Համապատասխանություն

CNIL Fransa. GDPR Texnik Hamapataskhanashmane

CNIL-y 2023-in mshakec 16,433 bghokchyak ev 2019-ic surj 150 million euro tuyzhner e nshanakem: Nra AI aypuyty paytum e grvavor anuniachutyun ousuchakayin tvylneri hamar:

June 5, 20267 րոպե կարդալ
CNIL FranceFrench GDPRAI anonymizationFrench data protectionprivacy by design

CNIL Fransa. GDPR Texnik Hamapataskhanashmane

Fransay Amenaklor Andznaynutyan Kargavorich

Fransay tvylneri marminy CNIL e: Sa EM-i amenasxeq andznaynutyan kanonnery e soravum: EM-i metsavor kanonakargner lajn aypuyt en hracharum: CNIL anknum e: Nkaragumaberutyyan nkaragrer teknik spetsifikatsianery e hracharum, kochvum en recommandations: Aystink sorayum en, inch e imat karcavarum GDPR-i iravakan hamapataskhanashmany:

EM-i ayl kanonakargner hachakh ogtagortsum en CNIL-i ashkhatayanqy: Karevur tekstery nen 2023-i Guide pratique de l'anonymisation ev 2024-i AI aypuyty:

Kargery apatsuyts en tarum, vor gay-y activ e: 2023-in karger e 16,433 bghokchyak: Sa 43% aveli e, quich 2022-um: GDPR tuyzhner 2019-ic surj karghum en moteqavorapes 150 million euro:

AI Ousuchat. Verentsvelu Varets Teghayin Record-ner

CNIL-i 2024-i AI aypuyty lajn e karonvum: Karpum e bolor khorop vra, vor Fransay mardkants gornagrumneri vra AI e ousoycum: Ev nranq, vor AI gortsiqner en tarkel fransuzner ogtvorgnerin:

Gay-y naishvum e verentsvelu varec teghayin record-nerov AI-i ousuchakayin naxafin:

  1. Identifiants directs (ugraki ID-ner): Anvunnery, hascenery, ID nomernery: Khachket kaam kanapakhel ayd nakhafin:
  2. Identifiants quasi-directs (kvazi-ID-ner): Hnakov te sharezhat karojn en hetadzayl nuynshinatel: Karonvel k-anonymity stugumnery:
  3. Donnees sensibles (havatkhnayin kategorianery): Bzhshkayin, biometrik, kaghaqakayin ev krochakayin gornagrumner: Bakhel lravor lravor karchiqnerov:
  4. Donnees comportementales (ogtagortsutyan gornagrumner): Brawzeruman patmutyun ev ogtagortsutyan kachutaber: Khmbakrel kaam maskavel:
  5. Donnees inferees (enkalyals khnakuyunnery): AI-i khoghov enkhanum enkalyals nor tvinaker: Kirchin sxalakatsutyan sahmanafakumner:
  6. Donnees relatives aux mineurs (andzmaneri gornagrumner): Bolor gornagrumner, vor kapakvum en 15 tarekanen karchekov andzkanic: Tarekani stugumner karonvelu ev xist vetsilakvuman ogtagortsum:

Ogtagortsum es LLM-ner, vort ousoycvum en khoghatsval tvylneri vra: Petq es grtavor apatsuyts: Apatsuyts bere, vor jer ousuchakayin gornagrumnery vetsilakvum ev stugvum en: GDPR compliance guide shrjanakutyyan masin:

Anuniachutyyan Uxecoyts. Hnaravorutyyan Kentrakan Kancherer

2023-i uxecoyts-y EM-i amenanarit teksty e ayd nkathamardi vra: Sa kanonakargum e, inch e gnohatum orinak:

Hasaneli texnikaner:

  • k-anonymity — amen gornagrumy nman e gayt k-1 ayl-is
  • l-diversity — aytutin tvinakery tarbervoum en amen khmbi mej
  • Differential privacy — arjunkner arzhech gumarer avel e
  • Pseudonymization — vtagavorutyan kortsutyan kadam, ko chaykakan anuniachutyun

Pahanjvum gornagrumner:

Amen vetsilakvuman gorcunakin hamar CNIL-y atenum e fiche d'anonymisation (anuniachutyyan gornagrumner): Nranem petq e bakhvel.

  • Karchats texnikany ev nra karevur kargimaberutyunnery (k arhek, epsilon arkheq)
  • Nakhkin nuynshinatelman vtagavorutyan stugmants arjunkny
  • Tvayinas metos (stvum kaam arxaqin stugum)
  • Pataskhan andzny ev stugmants amsakany

Nuynshinatelman vtagavorutyan stugum:

Minchlev gornagrumnery anonym nshanakelits araj, irakanutyyan stugum karonvel: Harts taskarkanutyun: Karogh e parzabanutyuny morevick nuynshinatel ayd: Nayel, inc arxaqin tvylner goyutyun uni: Nyatir liat koneteksty:

Franser PII. Zer Gortsiqnery Inch Petq e Karojananal

Fransay kanonner Franseren PII kaprotyun en paytum: Zer gortsiqnery petq e haytnaberel Frans-hamat ID tvesaknery:

Karevur ID-ner, vor petq e kaprvel:

  • NIR: 15 nshan (13 hima + 2-nishani banali): Sa Fransay Socialakanayin Kapatakutyyan Nomer e:
  • Carte vitale nomer: Aghchashunich apakhovagutyyan kart ID:
  • SIRET/SIREN: Bazhakayin ID-ner, vor haytnaberivum en andznakan fayler:
  • Numero d'ordre professionnel: Registry nomernery bzhshkneri, iravabanneri ev hshvapahnerits hamar:
  • CNI (Carte nationale d'identite): Fransay azgayin nuynshinumutyan kart nomer:

Frans NER modelnery petq e kidren Fransereni anvan kaghkaknery: Sranits en endrgelum baxhvats anvunnery (Jean-Pierre), manakumnery (de, du, des) ev gizer-anvunnery: multilingual PII detection guide inchpes karghum e bolor local vayrnery:

Gorcadruum. Inch e Tuyzhvum

Gay-i tuyzhner hatuk karup ounin: Nrank nshanakvum en bats texnik karchiqner: Vat karatsvats gordeghakutyun miak e hachakh karevur khndir:

Clearview AI — 20 million euro tuyzhh (2022): Gay-y mshaker e Fransay mardkants biometrik gornagrumnery bghbaturyyan unenal iravakan hastatak araanc: Gornagrumnery khoghatsvum en haramakayin internet aghbyurneric: Depqy hastaraker: Web-khoghatsutyun AI ousuchakyuman hamar hatrakayin iravakan hastatak e pahetum:

TikTok — hetaqotutyun sergel e 2024-um: Kenatronvel e sistemaneri vra, vor karojn en aytutin tvesakner entanlelu ogtagortsutyan tvinakeric: Ayd metos ays EM-i arakmani hamar AI audit-neri hamar orinak e:

Generative AI verchnakutyan gornik (2024-2025): Gay-y Fransaum LLM vacharneri verchnakutyun arakets: Kanatronvel e ousuchakayin tvylneri nkharagir vra: Baver gornagrumaberutyun arder vacharnery petq en karchiqner aveleyen:

CNIL Hamapataskhanashmani Char Kadam

Mshakum es Fransay andzin gornagrumnery: Petq es char ban ounenas:

1. Anuniachutyyan gornagrumner amen gorcunakin hamar

Amen gornagrumner, vor ogtagortsum e vetsilakvum, karoghyuni ir gornagrumner: Grel texnikany, nra karchavoghakanutyunnery, vtagavorutyan arjunkny ev stugmants amsakany:

2. AI-i nakamshakman gornagrumner

Gornagrumner PII haytnaberutyyan gortsqits: Namayem entity type-ner, vor haytnaberets: Vorner en khachtsvats kaam maskvats: Pahel ayd gornagrumnery audit-neri hamar patrastel:

3. Franseren PII kaprotyun

Stugel, vor zer gortsiqy gajnem NIR, carte vitale ev CNI nomernery: Stvutyamb Frans NER modely iravakan Franseren anvunneri vra: Namayem bshiknery: Gornagrumner banovel e ayd gornagrumery luzelu nahabervats karchiqneri masin:

4. Ousuchakayin tvylneri nkharagir gornagrumner

Khoghatsvats tvylneri hamar: Nkharagri mshakman stugmants vekagruma: Ogtvorgneri gornagrumneri hamar: Ogtvorgneri mshakman gordeghakutyany nkaragruma: security compliance overview inchpes sa hamapataskhaneli e aveli lain kapatakutyan stack-in:

Kazmakerputyunner, vor lav gornagrumner unin, arjunk en tarum audit-nerits: Karoghyna kark karmakes ays: Mitch chseghek hetaqotutyunn unes:

Aghbyurnner

Հոդվածներ, որոնք կապված են

GDPR & Համապատասխանություն

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.

GDPR & Համապատասխանություն

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.

GDPR & Համապատասխանություն

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.

Պատրաստ եք պաշտպանելու ձեր տվյալները?

Սկսեք PII անանոնիմացնել 285+ կազմակերպության տեսակներով 48 լեզուներով:

Սկսեք անվճար փորձաշրջանԴիտել առանձնահատկությունները

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.