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Վերադառնալ բլոգինAI Անվտանգություն

GDPR 32-րդ հոդ.: AI գործիքների PII մոնիտորինգ

Ձեռնարկատիրական compliance թիմերը կարիք ունեն AI գործիքի PII վերահսկողությունների քանակական ապացույցի: Ցանցային DLP-ն բաց է թողնում բրաուզ-ի AI փոխազդեցությունները:

June 5, 20267 րոպե կարդալ
GDPR Article 32AI compliancePII monitoringCISO evidenceenterprise AI governance

GDPR 32-րդ հոդվածի AI Գործիքների Compliance-ի Ապացուցումը

Թarmakatvats 2026-i hamar:

GDPR 32-րդ հոdelakn batakav e "haramar texnikakan ev kazmakerpatakan mijotsarumner" andznak teghekutiunnery petpabanelu hamar: Erb annakazmn arteqin AI gortikner e ogtagonum - ChatGPT, Claude, Gemini - riskn iravakan e ev chapi zhoghovrdakan: Verahakyumnery petq e chapi zhoghovrdakan lineln:

Mi qaghakatsutiun, vor asyum e "mi kisbek andznak teghekutiunnery AI gortiknerih" kazmakerpatakan mijotsarum e: Texnikakan mijotsarum chi: Bavan chi, erb DPA auditor-n hartsnum e. "Isk inch kerpov giteq, vor annakazmn zgum e?"

Inch En Hartsnum DPA Auditor-nery AI Gortikkneri Veraberov

Samsung ChatGPT khakhtutyunic heto 2023 t. martyin, karogutchich nerqevapery khis norayin nayets ell endlayumn AI tsragrerits: DPA auditor-nery ayjm uugh harc en tardghik:

Texnikakan verahakyumneri medjum nrank hartsnum en:

  • Inch e karangum andznak teghekutiunnery motes AI hamakargererets?
  • Isk inch kerpov irask zhamin katabarer masking-y?
  • Inch apestu cuyts e taum, vor verahakyumnery ishkhanum en?

Monitoring-i medjum nrank hartsnum en:

  • Inch kerpov hetshetarakeq annakazmni AI ogtaqortsumera PII bardzratsutyan hamar?
  • Inch metrikner eq havakel? Vor hacharakhutyan:
  • Isk inch kerpov giteq, vor verahakyumnery bypass chi arel?

Incident-neri batsahaytelutyan medjum nrank hartsnum en:

  • Inch kerpov gtes PII arderakhum AI gortiki?
  • Inch e dzer arthadrutyan qaghakatsutiun?

Qaqaghakanutyunk pataskhaneli nrank ays hartsmerits cherevum: Nrank asyum en, inch petq e anel annakazmn: Nrank cuyts chi talis, inch annakazmn irakanum anel e:

Monitoring Bekhchi Browser AI Gortikkneri Hamar

Enterprise IT khmbery bakhvum e mek yndlanurik harc. browser-based AI gortikknery dzhvar e monitoring anel:

HTTPS Kciphernagrutium

ChatGPT, Claude ev Gemini-n bolor HTTPS-i hets HSTS-ov en: Tsantsaghi teshchutiunn chi karo kardat hushumi text-y araranc TLS decryption-i:

TLS Cheshchutium

SSL inspection-i hamar petq en enterprise certs-er bolor sarayn vra: Ayds karo khakhi cert pinning-y mayrum applicationnerum: Ayd nora anvandasirakan bakchere e steghtsanum: Ayd karo khakhteq AI platform-i service-i paymanner: Ayd bardzratsnum e annakazmni gaqtutiyan harcery bayrum ergirnerum:

Endpoint DLP

Endpoint agenter hagatsel en clipboard-i ev klaviaturayeri input-y: Bayts nrank unin barts false-positive deper: Nrank chi karox membayunel "anakic teghekutiun knatanel mek patvirashari" ev "ChatGPT-um" haytnabanelov: Delay-y karo bats thol live uguharkelumarner:

Arsdjunky. hayresaray arantikutyun: Aysynkn ogtagonum AI gortikner, nrank karum e chap tesutiun ays hamakargerin hasis teghekutiunnery:

Compliance Dashboard-y Grordzhutoyan Medjum

Financial services CISO-n petk e cuyts tay auditor-nerun, vor AI gortiki PII bardzratsutyan tracking-n ev verahakyumnery chapvum en: Audit petahanjy: kam teghekutiun aktkiv monitoring-i medjum:

Banakny tararakum e Chrome Extension-n 500 annakazmni masnaktsutyun: Mi shabath output:

MetrikShabathakan arthasunk
Bardzratsutyan AI sessions-i count8,400
PII entities haitnaberatsats12,000
Masking deper94%
Hagortsi anunner gtnvats4,800
Hashvar hamarnery gtnvats3,200
Gortsardutyan ID-nery gtnvats2,100
Unmasked uguarkumner (6%)720 entities

Nshum. ilustrativ tsenarion: Arthasunknery tvaryarkovum en banaki medzikin ev AI-i ogtaqortsman medjum:

Chinzh cuyts e talis auditor-nerun.

  • AI gortiki ogtaqortsman masshtaby (8,400 sessions shabath)
  • Khocanakut PII-i kshetatsiutium (12,000 entities gtnvats)
  • Verahakyumni gortardutyan arkatiuny (94% masking deper)
  • Manatsum risk (720 entities het-hetsazhum e petsanum)

Ereq baner, aynpes auditor-nery karo veraberanakhoshutyamb tsanotasnanl.

  • Texnikakan verahakyum katarvats e (extension deploy journals)
  • Monitoring aktkiv e (shabathakan zekuytser)
  • Matsatsumats risk karavarvum e (het-hetsazhum lratsuchutiun 6%-i hamar)

Ayss e bekhchi qaghaqakanutian "ka qaghakatsiutium" ev "ays e mern chapvats verahakyumneri output:"

Output-y Katarelargalutyun Pardelutyun

6%, ugharkvats araranc masking-i, tzakhutium chi: Ayd monitoring-i harjhak e: Banaky ayjm giter.

  1. Yor annakazm-nern argyumen masking hushumnery kam bats khen talis:
  2. Yor entities tipery avoreli aveli sharjhak e antesmasked uguarhvum:
  3. Yor khmbery unin aveli barts bypass deper:
  4. Deper e ir ghata nvirtsnem annakazmny:

Ayss uzhanavorum e npatak gortsarkovner: Barts bypass unetsog annakazmn het-hetsazutiun e stvum lratsutsiut: Barts bypass entities tipery karo petsanum aveli uzhik hushumn: Khmbery, vor sertapatum en bypass-mer, karo petq unenan workflow partsel:

Araranc ays output-i, usumnasirutium havsarak e karatsvum: Dra het, usumnasirutiun gnum e ayntegh, urish risk-n aveli barts e:

Inch E Nayum GDPR 32-rd hodvatsov Full Package-y

Lriv GDPR 32-rd hodvats documentation-i hamakarg AI gortik tsragri hamar:

Texnikakan mijotsarumner.

  1. Chrome Extension N sarqerum (apastutsiun. MDM journals)
  2. Ive PII haitnaberutium AI gortiki input pokherknerum
  3. Masking workflow audit trail-ov (extension journals)
  4. Compliance dashboard (haitnaberutyan metrikner)

Kazmakerpatakan mijotsarumner.

  1. AI gortiki ogtaqortsmani qaghakatsiutium
  2. Annakazmni usumnasirutiyan grkutiunnery
  3. AI teghekutyakneri arderakhumi hamar arjhandragrik qaghakatsiutium
  4. Monitoring output-i erekmasyan verakayjutiun

Monitoring-i apastutsiun.

  1. Shabathakan dashboard metrikner (antav 12 amis)
  2. Masking deper trend
  3. Entity tpi bakhvum
  4. Bypass-neri het-hetsazhumne grkutiunnery

Incident haitnaberutiun.

  1. Monitoring output-y kendam atipik vark (anspy deper angut, nor entity tipner)
  2. Arjhandragri dzakholman plan tarkyan vra katsvorvats e [amsakatum]

Ayss komplestn bavararer e 32-rd hodvatsov: Cuyts e taum texnikakan ev kazmakerpatakan mijotsarumner iravakan apastutsiununerov:

Risk-y Chamayel Kardzan Chanach

Hamachap test-i hamar, petq e cuyts tals risk-y, vor verahakyumn vercnum e:

Araranc verahakyumits:

  • AI hushumneri 11%-y parardum e PII (Cyberhaven 2025)
  • 8,400 shabathakan sessions x 11% = 924 sessions PII-ov shabath
  • Yerber session. GDPR 83-rd hodvatsov bardzratsutyan haravantsakutiun, erb EU teghekutiunnery nen:

Verahakyumov (94% masking deper):

  • 924 sessions haitnaberatsats PII-ov
  • 94% daskapaharkvats. 869 sessions petapaharkvats
  • Matsatsumats. 55 sessions shabath unmasked bovandaschajnutiununerov:

Ardsiunky. 94% karasor PII bardzratsutyan AI gortiki ogtaqortsmants:

Karavor-neri hamar, vor kanavum en hamachap test-y, 94% karasor-n kataryal texnikakan verahakyumits uzhegh apastutsiun e: Cuyts e naev irakakan zhaman PII kankhargelum AI gortikkneri hamar ev browser DLP ChatGPT-i, Claude-i ev Gemini-i hamar:

Ezerak

GDPR 32-rd hodvatsov AI gortikkneri hamar compliance-y petq e heraxnda qaghakatsiutian vra: Browser AI sessions monitoring-y PII bardzratsutyan hamar petk e texnikakan verahakyum, or artsatum e apastutsiun:

Kive masking nor monitoring-ov taum e erkusy. kankhargelum (pakasor bardzratsutium) ev apastutsiun (chapvats risk ev verahakyumner output): Ayd kombinatsian bavararer e 32-rd hodvatsov:

CISO-neri hamar DPA audit-i artsach. auditor-nery uzhanavorum en kam teghekutiunnery: Cuyts ek haitnaberutian deper, masking deper ev matsatsumats risk trend-nery: Qaghakatsiutiun sksizb e: Monitoring output-y apastutsiun e:

Inch kerpov arghelutiun-y hamaematsum e masking-in vorovhetev verahakyum, tes Browser DLP. Argumutiun ev Anonymization:

Akhbyurnery

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.