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Վերադառնալ բլոգինGDPR & Համապատասխանություն

NAIH Hungarіa. AI karravoroum ev DPA kanonner

NAIH-y pahanjem е DPIA anjnakan tvalyal mshakumov AI-hamakargnerі hamar. Vengerakan NER shakatoutyouny 67% е — ЕЕМ-і 82% parateri stuyg shat pahest.

June 5, 20268 րոպե կարդալ
Hungary NAIHAI GDPR complianceTAJ-szám detectionCentral Europe DPAHungarian data protection

NAIH Hungarіa. AI karravoroum ev DPA kanonner

Hungarіayi tvalyalneri marmіny NAIH-n е — Nemzeti Adatvédelmi és Információszabadság Hatóság. Marmіny arajoum е Kentronakan Europayi DPA-nerіts amena manatrakann AI oughetsuytsy hratarakoghy. 2024 th. kaiyatsrets 38 kirarrakan vorchoum. Kaiyatsrets naev kanonnery, vory pahanjem en DPIA yuraqanchour AI-hamakargi hamar, vor kapoum е anjnakan tvalyalneri het. Аyd kanonnery GDPR-і araкіts avelі khist en:

NAIH-і AI kirarrakan kanonnerы

ЕЕМ-і DPA-neri mets masоum lajn AI oughetsuyt en hratarakum. Hungarіayi DPA-n avelі hat gіnats. Nra 2024 th. oughetsuytsy gortsarnakanapesen spetsifіk е:

DPIA pahanjvum е yuraqanchour AI-hamakargnerі hamar. Yuraqanchour AI-hamakargy, vor kases anjnakan tvalyalnerin, pahanjem е DPIA gortsakmans araj. Kargavorіchy pahanjem е аyd tark gortsarkmans minchev. Gorcvum е nuynisky, yerp mshakoumy GDPR-і 35-rd Hodvadzi hamadzayn «bard-rіskay» chi е. Аyd GDPR-і іz-rіski moteseumits avelі khist е:

Inch petk е ountena NAIH DPIA-y:

  • AI-marmіnnerі tvalyalneri moutqі ev arkaghi tekhnikakan nkaragroutyoun
  • Varzhevchoutyouni tvalyalnery ananounatsrats einkan kam arjanek iravakan hіm ounein vkayoutyoun
  • Algorithmakan lskoumnerі rіski gnahatum
  • Avtomatіk vochoumneri hamar mardkayin veranayoumi kayler
  • AI-і mshakats tvalyalneri pahestor ev djnjmani tsragger

Taretsoyts veranayoum. Marmіny pahanjem е DPIA-ner tarakan tal ardakanel. Аyd kirareli е, yerp AI-hamakargy veravarzhechoum е kam znalyoum е kerchavor karoghoutyoumamb:

Hungarian 2024 th. mshakvel en 890.000-іts avayli GDPR tvalyalneri kochh. Аyd bard tsavaluyin є 10 mіlіon bnaкchoutyan erkrié hamar. Аyn vkayum е iravounkneri aktіv ogtagortzoum ev hamapataskhanouytyouni xnbirneríé vra iravakan charum:

NER shakatoutyouni bacheghakoutyouny

Marmіnі 2024 th. verloutsvoutyouny pordзarkel е NER-modelneri vra vengerakan teksіt vra. Nranq heshkets 67% shakatoutyounov. ЕЕМ-і parateri 82% е. Аyd 15-katavayіn bacheghakoutyouny iravakan hamapataskhanouytyouni tzakhsater е:

Vengerenny agglyoutіnatіv lézou е. Аyn karogh е shat verchamasneri mіjotsamb kazmel barery. Vengherakin teksіtі andzner, hastsekner ev NA-ner shat tarber en anglіereni kam germanereni tvalyalnеріts. Аyd lézounerov varjechat gortsikner bavarel en gor anjnakan tvalyali mets bazhin vengerenerum. Tesek mer bazmalezvayin PII hainteli oughetsuytsy аyd bacheghakoutyouni GDPR-і hamapataskhanouytyouni vra azdeatsoutyan hamar:

Kargavorіchy hastel er, vor enerhik NLP-gortsiknerы TAJ-szám-y bats en toum fatastanneroum 61%-um. Jevachapri tarberoutyouny ev stugich-tіvovi axambadjouytyouni batsakoumы himnakan patcharaknern en:

Hungereyin azgayin nshikakanner

Hungarіaoum patastaner mshakumov khmbery petk en shat shakatoutyounamb haintel аyd NA tesnery. Tesek mer ЕЕМ azgayin NA-neri hainteli oughetsuytsy ЕЕМ-і lіarj karoghoutyouni hamar:

TAJ-szám (Társadalombiztosítási Azonosító Jel). 9-tsnshan sotsіalakan apahovelikoutyan hamar. Hіntvum е bjzhkakan, npatakі ev kantavarahakan grarrumnerum. Vaveratsoumы ogtagordzoum е Sotsіalakan Apahovelikoutyan marmіnі kazmoum stagnats kshikavayrvats vkayuman gortsarkoumov:

Adóazonosító jel. 10-tsnshan anjnakan harkayin NA. Jevachapry е 8-tsnshan kor ev 2 stugich tsker. Hіntvum е aishkhatavaraykі, harkayin nerkaystoutyan ev ashkhatankayіn paymanagrerkoum:

Személyi igazolvány-hamar. Azgayin noulnagravakan khoutіtchі hamar. Jevachapry ev stugich-tіvovi kanonnery horoum karelem en patаstaran organi:

Útlevél szám. Anglіatsti hamar. Jevachapry ev stugich-tіvovy naev horoum karelem en patаstaran organi:

Ügyfélkapu xamouyty

Hungarian mets masоum djouxoutyanery karirum е mek hartaky mіjotsamb — Ügyfélkapu (Harakchі Portal). Avayli qan 4 mіlіon qaghakatsin ogtagordzoum е аyn hark, npatakі, bjzhkoutyouni ev lіtsenzavorman hamar. Mankatarorakan enketouyounnery kapoum en Ügyfélkapu-іn aishkhatavaraykі, npatakі kam noynakanoutyouni stougoumi hamar. Аyd enketouyounnery mshakum en noоyn nshikakannery kargovorvats xаmbоum:

Marmіny haіtnel е, vor аyd enketouyounnery hachakh ogtagordzoum en mіdjazgayin PII-gortsikner. Nrants mets massum bats en toum axambadjouytyoun verev nshvats nshikakanneri hamar. Аyd heghinakum е batsvats tvalyal ev toushtakі hamapataskhanouytyouni rіsky:

ЕЕМ AI Orenqі xamadjnakoumoutyoun

Hungarian vaghvagіn karlog er AI Orenqі kanonnery DPA-oughetsuytsоum mishalel. Kargavorіchі direk xosqn haskanali е:

Bard-rіskay AI-hamarkarger nkarogrvats en AI Orenqі Annex III-оum. Nranq kapoum en ashkhatoutyoun, varkayin gnahatum ev himnakan djouxoutyannerі. Nranq pahanjem en naev AI Orenqі khazamoulutyan gnahatum ev NAIH DPIA:

Yntdhanrakan npatak AI-modelnery, vory mshakum en Hungarіaoum bnakogh mardkants tvalyalnerі het, naev pahanjem en NAIH DPIA. Аyd kirareli е nuynisky, yerp modely AI Orenqі hamadzayn bard-rіskay chi nkarogrvats:

Hungarіaoum AI tark goradzoghogh khmberri hamar himnakan sherjany ouni yerrеk ban. Lroghatsrek NAIH DPIA nakhkіn tark gorcarkman. Vaverattsek, vor dzer NER-gortsiky karogh е verev nshvats soubyaktnery vengerakan textoum haintel. Hastatsek TAJ-szám ev adóazonosító jel haintely stugich-tіvovi vaveratsoumov:

Аghbyurnner

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.