anonym.legal

By · Last updated 2026-06-05

Վերադառնալ բլոգինGDPR & Համապատասխանություն

AEPD Ispania — AI-i ev Ashkhatakitsnerum Andznayin Tvalyalneri Pashtpanutyan Kanonner

AEPD-n 2023 tvakanum 847 karapahtich voroshutyun arec — EU-um amena shaten hamara — ev pahanjum e DPIA-ner bolor AI sistemaneri hamar, voryants mshakum en andznayin tvalyalnery:

June 5, 20267 րոպե կարդալ
AEPD SpainSpanish GDPRAI DPIA Spainemployee monitoringSpanish data protection

AEPD Ispania: AI-i ev Ashkhatakitsnerum Andznayin Tvalyalneri Pashtpanutyan Kanonner

Updated for 2026

AEPD: EU-i Amena Aktiv Kirarkoghutyun Kazmakerpich

AEPD (Agencia Española de Protección de Datos) Ispaniai andznayin tvalyalneri pashpanutyan kazmakerpich-n e: Ayn 847 tuganq artets 2023-in: Mek el EU marminy dem arets: Ayd tvakanum bnajin tuganqnery ankatsav €12 mln:

Gortsakanutyan marminy ayl EU kargavorognery petq e ashkhatakitseran arantsnapesy: Nayev uzhetsum e pokr kazmakerpichnerine, khosherakannerin ev midzin mezkey khmbernerine:

Amena shaten targkyal ueghery 2024-in:

  • Camera and biometric surveillance (29% of cases)
  • Marketing and unsolicited contacts (24%)
  • Staff monitoring and HR files (18%)
  • AI systems and automated decisions (15% — rising)
  • Health and special-category data (14%)

AEPD-i AI DPIA Kanon

Kazmakerpich-i 2024 tv. Guía de adecuación al RGPD de tratamientos con IA sahmanavorum e mek aytsabarar kanon: AI grancuyts, ory katarum e andznayin gragrancumneri mshakutyun, pahanjum e DPIA:

GDPR-i 35-rd hodvatsov pahanjvum e DPIA-ner, yerb mshakutyuny bartz risk e kazmumy: Ispanayin marminy yerts e katarum: Ir uxecuytsy asum e, vor ML grancuyts, ory anem andznayin gragrancumnernery, sahmanavorum e DPIA kanony:

Ispanian kazmakerpichnery petq e DPIA-ner antskanem:

  • Customer-service chatbots
  • Hiring screening tools
  • Marketing tools
  • Text-processing models (including anonymization tools)
  • AI tools handling staff or customer records

AEPD Anonymization Standards

Kazmakerpich-i anon anestatsumnery kertsvats en CNIL-i ashkhatanutyan vra:

Ispanian ID typenerny:

  • DNI (Documento Nacional de Identidad): 8-tzivan hamary lrats kontrol tarovy
  • NIE (Número de Identificación de Extranjero): Tarovy + 7 tzvanery + tarovy, otarerneri hamar
  • NIF (Número de Identificación Fiscal): Nuy format, orpesy DNI, harcakakhmberi hamar
  • Número de Seguridad Social: Ispanayin sotskayin apahovanutyan hamary

Kazmakerpich-y nshumy e, vor NER modelnerny hostnapa kantsavurum en NIE hamary:

Ispanian double surnames (apellidos compuestos): "García López, Juan Carlos" anvany uni erku azvanik, voranch mek:

AEPD Employee Monitoring Cases

Dipkeri 18%-y vkayum e andznakazmati monitoringi ev GDPR-i ev Ispaniai ashkhatanqayin orenqi hamakargutyuny:

Kazmakerpich-i karevor devqeritc:

  • Keyloggers: Lutatap keylogger-i ogtagortsutyan andznayin monitoringy GDPR-i pahanj e ankaman depqerum:
  • GPS tracking: Kashutyuny gnorh amamakannerin zgushakyan storozhakanutyan ev tzanuchmany hamar:
  • Email monitoring: Kashutyuny tarpat grancumi ev kanonakargum nahadzhovov:
  • AI tracking tools: Andznakazmati varkve monitoravarvogh mek model pahanjum e DPIA:

AEPD-Compliant AI Documentation

Choris pastatughtayin hartsum e pahanjvum Ispanian kazmakerpichnerin, voryants ogtagortsatsnum en AI grancuitsner:

1. AI system inventory

Tvartsel bolor grancuitsnerny, voryants karavarum en Ispanian andznayin gragrancumner:

2. DPIA per system

Ogtagortsel kazmakerpich-i hratarakats DPIA blanky:

  • Purpose, legal basis, data types, and recipients
  • Necessity and proportionality test
  • Risk assessment for people affected
  • Risk controls: both tech and process
  • DPO sign-off (where required)

3. Technical controls record

  • Pre-send filtering (PII removal before model)
  • Access controls on outputs
  • Retention limits
  • Breach detection and response

4. Staff monitoring policy

Ite yerghanats grancuyty monitorum e andznakazmaty, havakel e gir kanonakarg:

AEPD audіtnery sksumy en guqatarits ev DPIA-nerits:

Sources

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.