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Վերադառնալ բլոգինGDPR & Համապատասխանություն

EU AI Act Aghostos 2026. Ousumchoutyan Tvylalneri Anonymizatsia Hodvadz 10-ě Katarelou Hamar

EU AI Act-i liak kataroghoutouně sksoum é Aghostos 2-its, 2026: Touganknery hasnoum en mendjevi €35 mln. kam 7%-i hamaynayin shurzhanarlі: Hodvadz 10-ě patandjоum é ousumchoutyan tvylalneri anonymizatsia:

March 16, 20269 րոպե կարդալ
EU AI Acttraining dataArticle 10GDPR complianceAI regulation2026 deadlinedata governance

Haratvaroumě Sksvats É

Tharmaratsvats 2026 th.-i hamar

EU AI Act-i versnazhamnety irakhan é: Hodvadz 10-i kanonnery kirarrvoum en Aghostos 2-its, 2026: Ete yor thimě karoutsanoum kam gorkatsoum é bardzrisk AI hamakarg, hima gortsek: Zhamanak kars é:

Touganknery avier en GDPR-its: Amenabardzr touganky €35 million kam 7% hamaynakayin tarekakan shurzhanarlí é: GDPR-ě sahmanvagyoum é €20 million kam 4%-ov: Voch mek aylí AI qanon avier touganqner chounі:

Vorn AI Hamakargery Bardzrisk En

AI Act-ě hamakargery tarkavoum é riski boyov: Bardzrisk hamakargery (Annex III) tsadkoum en AI-ě, ogtagerdzats:

  • Krtoutyan mej — dprots hasyanoutyoun kam ouytsanoghí gornahashiv
  • Ashkhatavarjí — CV skaning, handezoutyoun gornahashiv, ashkhatoghin monitoring
  • Handragoyin tsarrayoutyan mej — varkakayin gornahashiv, ankvagitoutyan gin, artagat ougjharkоum
  • Orensogoutyan mej — hanzagoutyyan karavoum, biometrik ID
  • Bazhkapatskman mej — bzhshkakan sarki tnayín hnarerot, hivandi triazh
  • Ennakeragitsi mej — energetika, djour kam tarransportayin karavоum
  • Ardatadroutyyan mej — iravakan hashoghoutyan gortsikner, datavarchoutyan gortsikner

Ashkhataum ek arya sranits? Hodvadz 10-ě kirarrvoum é kezi vra:

Hodvadz 10: Char Handakayin Kanon

Hodvadz 10-ě kanoner é sahmanоum bardzrisk AI hamakargeri ogtagerdzats havaqoudzoumneroum: Aha char handakayin nerě:

1. Grvavоr Karavarchоum

Havaqoudzoumnery petk é heteví "hamapataskhán tvylalneri karavarchman ev kararamni dzevacherper": Dzez anhtrazhet en grvavоr qayleré havaqman, kokakanutyyan stougebani ev sharhouni veranaikhi hamar:

2. Kholourthi Testoum

Grakhoumnery petk é stougebanvel hnaravank "kholourthneri hamar", voronk karogh en anfair ardzouchneri patchar lini: Aktiv testoumě parvadír é: Dítovakan kholoyrt aragelоumě bavar chi:

3. Chshgritutyoun ev Tsakouyth

Havaqoudzoumnery petk é linen "vercharakan, bavarar antsndzakan ev serkhanutyounits azat": Veb crawls-erě, voronk bats en thalis orinakh khesoum, karogh en chkaghakhel ayd testоum:

4. Havatsman Kategoriayi Grakhoumneri Havasak Tesaknerě

Hodvadz 10(5)-ě amenanéshem kanonn é: Yerb bardzrisk hamakargě ogtagerdzоum é havatsman kategoriayi grakhoumnery — aroghjaboutyoun, ajes, karasoutyoun, kaghakakanutyoun, biometrika — karogh ek miayn mshakel nrank, yerb "betsarat anhtrazhet en" kholourtyi stougebanneri hamar: Petk é naev kirarrveq "hamapataskhán pashtpanakan miocner": Tvylalneri maqroumě amena amboghdz pashtpanoutyounnerits mekn é, vory karogh ek kirarrel:

Karoghoutyan yeznоum: AI modeli havaqoudzoumneri mets massy andznakaní grakhoumnery pahoum en: Hodvadz 10-ě asoum é ogtagerdzets minimalakane anhtrazhetě, amboghdz tekhnikakan pashtpanoutyounnerov:

Tes mer iravakan hamapataskhanutyyan eje ev anvandutyyan aknarkě manikoshneri hamar:

Touganqí Bnerakanutyounnerě

EU AI Act-ě ouni yereq touganqí bnerakanutsoum: Nrank borer en antsnoum GDPR-ě nuynh tipí khakhtman hamar:

KanounakanutsoumMax TouganqShurzhanarliy Shem
GDPR€20 mln4% hamaynayin shurzhanarly
EU AI Act (bardzrisk)€15 mln3% hamaynayin shurzhanarly
EU AI Act (argelyal)€35 mln7% hamaynayin shurzhanarly

Havaqoudzoumneri khakhtnerě mtnoum en bardzrisk bnarakan (€15 mln / 3%): Ete kargolokhě gtnі, vor andznakaní grakhoumneri ogtagerdzоumě aranc pashtpanakan miocnerum argelyal gortsoloutyoun é, bardzrakayin bnarаkanouythy kirarrvoum é:

Irakhan orinaknery: €500 mln shurzhanarliy 3%-оm = €15 mln touganq: €5 milliard shurzhanarliy 3%-оm = €150 mln touganq: Ayd irakhan tsakner en, voch teoría:

Inchu Tvylalneri Maqroumě Loutsоum É Ayd

Pataskhnakanspes maqvats grakhoumnery khngoum en GDPR-i gortsounakouytyounits: Da kertsoum é Hodvadz 10-i baremneroum mets masě:

Dzharir kanonnery — havatsman kategoriayi karavоum, kholourtyi stougebannery, tvylalneri sahiboutyyan iravounqnery — miayn kirarrvoum en, yerb havaqoudzoumě andznakaní grakhoumnery pahоum é: Nakhqan hertsel ayd grakhoumnery: Baremy mets masоv katoum é:

CNIL-ě (Fransiayí tvylalneri maromě) sa haytknis ararts katsrets 2026 th. sksbin: Nra AI ourkhetsouytse asoum é. andznakaní grakhoumneri tvylalneri maqroumě, vory anhtrazhet chi modeli kataroghoutyan hamar, ardou tekhnikakan miocn é Hodvadz 10-i hamar:

Sa yeznokm kiarmotiv chi: Ayd EU-i amenabardzr AI kargolokhí handraganoutyyan kartse é:

Inch É Tvylalneri Maqroumě Gortsnakanouytyyan Mej

AI modeli havaqoudzoumneri maqroumě nuynakaně chi, inchpes kéndi artadrakan grakhoumneri maqroumě: Modeli havaqoudzoumnery karogh en pahel:

  • PII-ov vastatéghtery — paymanagirery, el. nambaknery, haskaskumnery, support tickets-nerě
  • Karkhavorvats grakhoumnery — tsakhayoutyan hashtegherum ogtagerdzvogh haghordakayin aghousaknery kendanoutyan modelnery karoutsanely hamar
  • Nashagrvats bovanddakoutyouně — nkarnery kam tekster gortzanoumnerov, voronk nerenkyelyal andznakaní tvylalner
  • Sintetik grakhoumnery — voronk steghtsoumy karogh é der pahel andznakaní dzevacherperě

Petk é haytnaberel PII bolor ayd dzevacherperoum: Mek tipí antsabaghel — hasankal amsboghj havaqoudzoumě: Paymanagirě anounnerov hertsvats, bayts lir hashventsnerov amenaynanali kav sksoum é modelin siretsnel ashkharhagrakan dirkvore demografiayin dzevacherperum:

anonym.legal API-ě karavоrum é khmbaqanakayin mshakoum mets AI havaqoudzoumneri hamar: Ayn haytnaberum é 285+ kazmakerputyan tesak 48 lezounnerov: Yeuropakayin AI entaniknerum, voronk ouni bazurlezou havaqoudzoumnery, lezounnerov layn tsakouythy kardsin é: Bac mek lezvoum kartsits kataroghoutyan riski beroum é amsboghj hamakargí hamar:

Detektsiayi manikoshneri hamar tes token system ourkhetsouytse ev kazmakerputyan tesakerum anavsaryoumě:

Gortsnakan Qayleré: Yor Havaqoudzoumě Maqrelov

Qayl 1: Nakhqan stougeabanek

Anel haytnaberum nakhqan maqroumě: Ayd karoghoutyan tsoyts é taroum, vor PII kanov é:

curl -X POST https://anonym.legal/api/presidio/analyze \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "'"$(cat document.txt)"'",
    "language": "en"
  }'

Pataskhaně narayteloum é yuraqanchyur haytnaberyal kazmakerputyan tesakov, dvagherov ev gornahashvov: Gorkatsets sa bolor yor fayleroum hamar tesnel liak gortsounakouytyounnerě nakhqan sksely:

Qayl 2: Khmbaqanakayin maqоum

Mets havaqoudzoumneri hamar ogtagerdzrek batch endpoint-ě mek angar bou faylery mshakelou hamar:

import requests
import os
from pathlib import Path

def scrub_batch(documents: list[dict]) -> list[dict]:
    response = requests.post(
        "https://anonym.legal/api/presidio/anonymize-batch",
        json={"items": documents, "language": "en"},
        headers={"Authorization": f"Bearer {os.environ['ANONYM_API_KEY']}"}
    )
    return response.json()["results"]

source_dir = Path("./dataset")
docs = [
    {"id": f.name, "text": f.read_text()}
    for f in source_dir.glob("*.txt")
]

batch_size = 50
for i in range(0, len(docs), batch_size):
    results = scrub_batch(docs[i:i+batch_size])
    for result in results:
        out = source_dir / "clean" / result["id"]
        out.write_text(result["text"])
        print(f"Done: {result['id']} — {len(result['items'])} entities removed")

Qayl 3: Pahel grakhoumnery

Hodvadz 10-ě patandjоum é grvavоr grakhoumnery iner katorvatsí hamar: Yuraqanchyur havaqoudzoumí hamar pahek:

  • Haytnaberum modeli ev tarberaky ogtagerdzval
  • Vorn kazmakerputyan tesaker en haytnabervel ev inchpes yuraqanchyury pokharinvоum é
  • Havaqoudzoumits hertsvats kazmakerputyan khtser
  • Maqoumi amsatva ev ogtagerdzval havaqoudzoumí tarberaky

Sa havalarcnoum é Hodvadz 10(2)(a)-i "tvylalneri karavarchman ev kararamni dzevacherper" patandjě:

Hacharak Hartsery

Ardy maqoumě khorarkel é modeli kokakanutyouně?

Mets masоv, voch: Modelě dzevacherper é imasnoum teksti karoutsvatskoutyounits, voch andznakaní manikoshnerits: Anounnerě, herrakhosamamerě ev hashventsnerě karogh en pokharinvel placeholder-nerov, ayspisin [NAME] kam [PHONE], ev modelě der imasnoum é nuynh dzevacherperě: Bou hashoghoutyan thimerě paytstsets en, vor maqvats havaqoudzoumnery nuynakovakar kokakanutyoun ounetsogha modelnery en artatadroum: Kapnaky polící placeholder-ner ogtagerdzna, vorpéiszi modelě tsshtkelal é kan dzevacherpy:

Inch anel, ete im havaqoudzoumě shat mets é?

Ogtagerdzets batch API-ě: Ayn karoghoutyan tsadkoum é mets cangakoutyounnerě zargaralel: Gni eje tsoyts é tarbi ardzer canchakoutyyan hamar: Bou thimery mshakoum en millionavorov grakhoumnery amis aradjin:

Inch anen anglereni chareri havaqoudzoumnery?

API-ě astitsavoum é 48 lezoun: Yuraqanchyur lezoun ogtagerdzvoum é ayd lezvoum ousouchovats haytnaberum modeli kov: Da nshanoum é, vor germanerení, fransiaserení, ispanaserení, japonerení ev ayln borer en tsadkvats: Tes FAQ-ě bolor lezounnerum liak tsanki hamar: Kharr lezou havaqoudzoumnery naev astitsavoum en — karogh ek nshil lezouně yuraqanchyur vastatéghti hamar batch harcоumoum:

Colorado AI Act: Yerkou Versnazhamnety

Colorado-yi AI Act-ě ouzhí mej é mtnоum Hounísi 30-in, 2026 — EU-í versnazhamnетіts hink shabath aradjel: Ayn nuynatip kanoner é sahmanоum "bardzrisk AI hamakargeri" hamar nakhantchin: Hartse hasnoum é kholourtín ev khorhrrdavakhoutyyan:

Ev EU-oum ev Colorado-оum eghadzogh thimerě yerkou versnazhamnety mek angar en katoum: Yor havaqoudzoumneri maqoumě knoum é lezоum yerkou qanonnerě: Hodvadz 10 (EU) ev Colorado-yi kholouyrt-hartsi kanonnery: Tekhnikakan qalerě nuynakaně en:

Hima Gortsek

Hink amisě bavar é — ete aysor skses: Bavar chi, ete minchev houní spasets:

Gortsnakan zhamanakagroutyoun:

  1. Shabather 1–2: Stougeabanek yor havaqoudzoumnery — petq é haytnaberel, vor andznakaní grakhoumnery kanny en
  2. Shabather 3–6: Karoutsanek ev testavorek yor maqomí pipeline-ě
  3. Shabather 7–10: Ambaghetsk yor governance grakhoumnery; staqetek iravaban stougebanoum
  4. Shabather 11–16: Vaveratsrek — hastateqet, vor maqvats havaqoudzoumnery havalarcnoum en Hodvadz 10-i kokakanutyyan kanonnerin
  5. Aghostos 2: Kataroghoutyan amisatva — hamapataskhán gortsounakouytyounnerě teghu oghiv

anonym.legal API-ě kayutsvoum é yor ardén eghadzogh pipeline-in aranc mets pokhokhoutyan: Stougeabanek gně catanak planner hamar: FAQ-ě tsadkoum é Hodvadz 10-i hamak hartsery:

Ogtagerdzets GDPR-i hamapataskhanutyyan stougebanutyouně GDPR-i ev Hodvadz 10-i mijev elaketvor grakhoumneri hamar:

EU AI Act-ě patrasté é kataragеlov: Kargavarels te yor katakertsouythy patrastě klini Aghostosi 2-ov:

Sksel GDPR-i hamapataskhanutyyan stougebanutyounamb →

Sahmanery ev Bats Hartsery

Tvylalneri maqoumě AI Act-i kanonneri hamar der zargatsoum é: Aha kardorayin bacery:

Shemery sahmanvats chen: EU AI Act-ě chi asoum, te maqomí vorn maqardaky "bavar" é: Minchev Europakayin AI grasenyakě ourkhetsouyt hratagará, iravakan riski karom es: Karogh es chi gitan, te yor metodě karolokhnerum bavaravoum é te voch:

Verekhtorenthakman risky mnacoum é: Hashoghoutounyouně tsoyts é taroum, vor mets lezvayin modelnery karogh en ardyen hasarakatsrel ev verapatskanel bovanddakoutyoun nrants havaqoudzoumneric: Modeli zargatsmоumits aradjel maqomí standartneryin antsvats grakhoumnery der artahanel en karogh:

Sintetik grakhoumnery sahmannery ounén: Sintetik steghtsoumy vachikagrakan dzevacherperě pahоum é, bayts karogh é antsounouythy kholourtner avelatsnel kam hazvakan ezrayin depker bantsatsnel: Miayn sintetik bovanddakoutyyan vra karoutsanvats modelnery karogh en drouvanap mshakverts irakhan moutqeroum:

Hodvadz 10-ě der meknobanvoum é: «Hamapataskhán tekhnikakan miocner» kapě meknobanoutyyan karik ounі: EU anjever DPA-neri avakachayin ashkhaty hatoukas standards-nerě vorosher chi chjé: Hetchkets EDPB ourkhetsouytsy ev anjever petakan oroshumnery amboghj 2026 th.-i enthatsoum:

Aghbyurner

  • EU AI Act, Regulation (EU) 2024/1689, Hodvadznery 9–17 (bardzrisk AI patadrutyounner), OJ L 2024/1689
  • EU AI Act, Hodvadz 10 — Tvylalner ev tvylalneri karavarchоum
  • CNIL AI havaqoudzoumi ourkhetsouyt, hounvar 2026
  • Colorado AI Act, SB 205, ouzhí mej é mtnoum hounísi 30-in, 2026
  • EU AI Act zhamanakagroutyoun: argelyal gortsoutyounnerě petrvary 2, 2025; bardzrisk hamakargery aghostos 2, 2026

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.