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By · Last updated 2026-06-05

Վերադառնալ բլոգինGDPR & Համապատասխանություն

BfDI Germaniya: DPA Hamapatakshanutyyan Texnik Uxecoyts

Germaniya 2024-in 27,829 GDPR khakhtutyyan tsanucum e enkakel — aveli quich, quich EM-i mek ayl andam-petut: Aha inch nshanakem e BfDI-i gorcadrutyany texnik PII hamar:

June 5, 20268 րոպե կարդալ
BfDI GermanyGerman GDPRdata breach notificationLandesdatenschutzbehördeGerman DPA

BfDI Germaniya. GDPR Hamapataskhanashmany Texnik Teamnerum Hamar

Tharmakvats 2026-i hamar

Germaniayn unni 17 tvylneri pashtvumutyan marmin: Mekn e federal BfDI (Bundesbeauftragte fur den Datenschutz und die Informationsfreiheit): Myal 16-y nahangi marminnerny en, kochvum en Landesdatenschutzbehorden (LfD): EM-i vor ayl erkiry avsa chi asnum:

Bashkhatsummy Germaniay federal karutsvatstsutyunits e bkhvum: Nahangneryn iravunq uni mesnavairi hskhayin vra hamar jeri: BfDI-n karghum e federal hamarkain marminnerny ev orosh khach-nahan enkeroytyunner: Amen LfD-y karghum e ir nahangum enkhayakan enkeroytyunnery: Bayern-i BayLDA-y Munich-i himer enkeroytyunneri vra e kircvum: Hamburg-i HmbBfDI-y Hamburg-i enkeroytneri vra e kircvum: Berlin-i BlnBfDI-y Berlin-i enkeroytneri vra e kircvum:

Mi qani nahangnerum gaghuytnatsutyan unetsog enkeroytuny petq e parka, vor marmin-y iravunq uni: Sa mshtak chi lokhmanelu: Federal client-ner unetsog enkeroytnery ev erku nahangum shaghum ev karojn en ev BfDI-i ev LfD-i het mekusak ashkhatel:

Germaniay Gorcadrakan Zamashlayinnery

Germaniayn 2024-in haghordakavarel e 27,829 khakhtutyyan tsanutsutiun: Sa EM-i vor ayl andam-petuyic aveli shatern er: Kgner 31% GDPR-i bolor EM-i khakhtutyyan tsanucumnery havakel en ayd tarva (EDPB 2024 tvylner): Bards tsankn apatsuyts e tarnum activ tsanucumutyan taradzutyany: Inch nshanakem e Germaniayn aveli shatern unni vor myl erkirer:

BfDI-i ev LfD-neri bolor tuyzhery kager e moteqavorapes 160 million euro 2018-2024 tvarannerum (GDPR Enforcement Tracker): Ereq depq arachno en.

  • Deutsche Wohnen — 14.5 million euro (2020): Anber khachktsutyyan sistemner: Depqy apatsuyts berer, vor tvylneri pahrpanutyunne texnik pataxmanutyun e, ko varchakan:
  • 1&1 Telecom — 9.55 million euro (2020): Tur haghordaki ID stvumner: Tuyzhyn ber sharjvets:
  • Bzhshkayin ev apakhovagrutyan enkeroytnery: Mi qani tuyzhner Article 32-i bnatsutyyan ketnery xakhtelits hamar:

German DPA-neri tarhekan mtavorutyunnerum erku karevo eraq e arajantsanum: Arjankavor texnik bnatsutyun Article 32-i nervum: Argelvaats khach-siranayin kantsumner Article 46-i handepi:

BfDI-i Aypuyt AI-i ev Tvylneri Sxal Sxalakatsutyan Masin

BfDI-y 2024-in aypuyt e hrachararel, vor gnanume e GDPR-i hamarapes kancherkagerayk GDPR ketneri sxalakatsutyan: [FLAGGED: Ayd aypuyti angaman paytadrakayin karchavoghakanutyann vra martakcvogh hastakarutyuny chet ev aghbyurneric — nkatarel es ayd orpes khist kanonakarg urvagits:]

AI-i mntsvumov sxalakatsutyan sxalner: Marminy uzum e gortsunayin texnik karchiqner, ko misakay karsakirqner: Sistemanery petq e gaytnaben ev hatken kaam maskiren andzin tvylner minchlev nra AI modeli khasnuty: Karsakir, vor asume e "andznakichnery petq e sxalakacen tvylner" texnik karchiq chi:

Maskirman kancherkagirner: Aypuyty matenagrum e ISO/IEC 29101-y orpes andznakhutyyan tvylneri karqapin hamar: Enkeroytuner, vor pndum en Article 4(5) pseudonymization, petq en apatsuyts beren bansali karchiqneri ev bnhakutyyan kadakneri masin, vor hamapataskhaneli en ayd kancherkagrin:

Article 32-i gornagrumner: Hetaqotichnery uzum en grtavor nkaragumaberutyunner: Nshanakem e anorosh cifrayin kaghaqnery, bansakali kadam-nery, marumnayin karchiqner ev stvutyan amsakannery: "Menq tvylner sxsem" miak sxa chi:

Havatkhnayin kategorianery (Article 9): Bzhshkayin, biometrik, genetik ev kaghaqakayin tvylneri hamar, aypuyty paytum e marumnayin gornagrumner, tvylneri ankhizum ev aveli xist maskavorum, quich Articles 32-y paytum e:

multilingual PII detection guide kaprotyani bshikneri hamar, vor karojn en andin artahaytutyun GDPR hamapatakshanutyyan vra Germanian shrjanit:

BfDI Hamapatashanutyyan Char Texnik Kadam

1. Article 32-i gornagrumeri register

Pahel gravor Texnik Mizhontsarakner Register: Kaprvel ayd shrjanery: Cifrayin kaghaqnery ev bansakali kadamnery, marumnayin karuyts, maskirman gortsiqner ev nrantic kargimaberutyunnery, audit gornagrumner ev stvumamsakannery: German DPA-nery sa es petanumi en depqeri metsavor masnum: Petq e patrastel minchlev nranic haytneq a:

2. AI-i mntsvumov filtri

Avel filtri kadam yerbeveth sistemaye, ortegh andznakichnery kaam haghordaknery mntsvum en andzin tvylner, vor gorcoum en AI modeli mej: Filtry petq e gaytnaber anvunery, telefoni nomernery, ID nomernery ev bzhshkayin tvylnery minchlev nranic model-in tasnel: Sa hamapataskhanely e BfDI-i texnik sxalakatsutyan kancherkagrin: Nrev e em pashtvum jer enkeroytuny, ete modely pahum kaam gornagrume e mtsvumner:

3. Aztomatik khachktsutyun jamnakavarovm

Deutsche Wohnen-i depqy apacuyts berer, vor vat khacktsutyuny ink-y GDPR khakhtutyun e: Pahrpanutyunn e petq e tsakhagri vra jamnakavarum: Antskanal terminy gerevatsvac gornagrumner petq en khachktsvel kaam anonym darnel jamnakacuyt: Ad-hoc khachktsutyuny chi hamapataskhaneli: Avtomatik karek:

4. 72-jamayin khakhtutyyan badaskhan

Germaniay khakhtumutyan tsanknarery apatsuyts en tarum, vor sa hamapataskhanashmans-activ shrjan e: Jer depqeri planerny petq e kagharem 72-jamayin payrtz: Nshanakem e, vor petq e unenak gortsiqner hamapataskhani kazmov andzetsvats martaktsnes, bacarakhcves tvylner ev mtekcnes havanak vtany: Stvutyan palakey nes nashil ankats palakey:

GDPR fines guide for US companies GDPR tuyzhner aystern amsheluts hamar:

Vor Nahangi Marmin e Karcvum

Mesnavirakan enkeroytyunneri hamar, hamapataskhanayin LfD-y sahmanvoum e, orpes kazmakey, ir nahangum gaghtynacvats:

BayLDA (Bavaria): Texnik bnatsutyun ev bzhshkayin gornagrumner: Bavariay avtoev ev bzhshkayin dzaxer sxexet urvabin aqs e:

HmbBfDI (Hamburg): Khach-siranayin kantsumner ev ogtvorgneri profiling: Hamburg-i finansakayin ev media enkeroytnery bard vtagavorutyun uni:

BlnBfDI (Berlin): Hskhapokhutyan gortsiqner ev andznakichneri monitoring: Berlini texnologiakayin dzern AI gortsiqnery verchnumen e:

LDI NRW (Hordayin Ren-Westphalia): Finansner ev manalakan havatarmanutyan programner: Sa Germaniay amenabard nahangy e:

ULD SH (Schleswig-Holstein): Cookie hamadzaynutyun ev thvayinayin marketing: Ayd marminy heshvum e texnik aypuytov avandakanavari hamar:

Bazum nahangnerum yergaytsnum en enkeroytnery karojn en ogtagortsel khorey havakalutyany kanchakarum e (Article 56): Sa luzum e depqery kaghakum, ortegh hima EM-i mshakumutyan voroshumnery en karnoghvum: GDPR DSAR batch processing guide inchpes sa andin e bard-tshkhmi aghchaknerin:

ISO 27001 ev BfDI Hamakargayin Kazmashmanutyun

ISO 27001-y sxexet e hamapatakhaneli German DPA hetaqotichneri hamar pahanjvatsiny: Ete jer enkeroytuny hastatakvel e, ogtagortsel dokumentacian audit hayrkytnerin badaskhanelu hamar:

  • Annex A 8.11 (Data Masking): Karghum e maskavan ev anonyamatsiun karchiqner — hamapataskhaneli e Article 32 gornagrumy pahanjqnerov:
  • Annex A 8.24 (Use of Cryptography): Karghum e cifrayin kaghaqnery ev bansakali kadamnery — hamapataskhaneli e sxsagrakhmbatumutyan gornagrumi pahanjqnerov:
  • Annex A 8.15 (Logging): Karghum e audit gornagrumy — artahaytum e haskumi gornagrumutyan pahanjqnery aytutin tvylneri hamar:
  • ISMS audit garner: Errachorak apatsuyts, vor karchiqner goyutyun uni ev gorcum e:

German DPA andznakichnery gitem en ISO 27001: Hastakarutyun tarnum e hamakargayin karchiqneri karoghapatas apatsuyts: Sa aveli amsheq e, quich grtavor patker arayin errachorak stugum: Nev ardyunavel e audit-nery, vorovhetev format-y tsanot e hetaqotichnerin:

Aghbyurnner

Պատրաստ եք պաշտպանելու ձեր տվյալները?

Սկսեք PII անանոնիմացնել 285+ կազմակերպության տեսակներով 48 լեզուներով:

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.