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Garante Italy: AI and PII Compliance Guide

Italy's Garante fined OpenAI €15M in December 2024 and temporarily banned ChatGPT in 2023. Here's what Italy's most aggressive AI regulator requires from.

May 29, 20267 minute read
Garante ItalyItalian GDPRChatGPT banAI compliance ItalyOpenAI fine

Italy's Garante: AI and PII Compliance

Updated for 2026

The Garante's AI Enforcement Record

Italy's data body is the Garante. It is the EU's most active AI regulator. Two big actions define its approach.

March 2023 — ChatGPT ban: The Garante told OpenAI to stop ChatGPT for users in Italy. It found no valid legal basis for the data use. It also found no age check for minors. OpenAI added age checks, an opt-out for training, and a privacy notice in Italian. Service came back in April 2023.

December 2024 — €15M fine: The Garante fined OpenAI €15 million. Three failures caused the fine. First: no valid legal basis. Second: poor clarity about training use. Third: no age check for minors.

Open probes (2024–2025): The authority launched probes against Replika, Worldcoin, and several AI startups.

Italy is the EU's highest-risk place for AI tool use. Any tool that handles personal records without clear conformance steps creates legal risk. Act early.

What the Garante Requires

The enforcement actions clarify what organizations must do when they use AI tools.

Legal basis: Every AI tool needs a documented legal basis under GDPR Article 6. The authority doubts "legitimate interest" for AI training. Explicit consent or contract need are the preferred grounds.

Data Processing Agreements: Firms using third-party AI tools as processors must have GDPR-compliant DPAs. The authority checked whether vendor DPAs covered data use limits. Gaps here draw scrutiny.

Input controls: The authority's focus on unlawful processing demands input controls. Technical filters that strip personal records before they reach an AI model fix the core problem. See our compliance guide for what to document.

Age checks: AI systems open to consumers must verify the age of minors. This rule followed from the ChatGPT ban.

Clear notices: Privacy notices must be in Italian. They must explain how the AI uses personal records, including training use.

The 63% Enterprise Gap

A 2024 Garante survey found that 63% of firms lack GDPR-aligned AI usage policies. This gap grows as the authority expands its AI program.

DPO sign-ups rose 340% after the ChatGPT ban. Firms saw that AI use without a DPO created legal risk. But a DPO alone is not enough. A written policy without technical controls is hard to enforce. The authority targets this gap: firms that rely on staff to self-police. Our protection overview shows how controls back up policy.

Technical Setup for Conformance

For firms with users in Italy, the Garante-aligned setup includes the following.

Pre-submission PII filtering: A Chrome Extension or MCP Server sits between the user and the AI model. It strips personal records before they reach the model. No personal data in equals no unlawful processing. This is the core fix.

Italy-specific entity types: Standard PII tools miss local ID types. Your tool must detect these:

  • Codice fiscale — 16-character national ID code
  • Partita IVA — 11-digit business number
  • Carta d'identità — national ID card
  • Tessera sanitaria — health card that holds the codice fiscale
  • Italian IBAN formats

The codice fiscale is the main national ID. Missing it leaves a key gap. See our entity guide for full coverage. Run tests on real local data.

Audit trail: Garante inspections ask for proof of technical controls. A central log showing that pre-submission filtering ran gives inspectors the evidence they need.

DPA records: For each AI vendor: keep a completed DPA review. Note data use limits and training terms. Store these where they are easy to find. See our FAQ for common DPA questions.

Sector Focus Areas

The Garante targets specific sectors.

Healthcare: Health records are high-risk under GDPR Article 9. Any AI tool handling patient records needs explicit legal basis, a DPA, and strong safeguards. AI diagnostic and clinical tools require DPIAs.

Finance: Consumer profiling using AI has drawn scrutiny. Banks and finance firms using AI for credit or marketing must run DPIAs and add explainability controls.

HR: AI tools for hiring, reviews, and staff monitoring require DPIAs. The Garante issued guidance on staff monitoring in 2023.

Education: School AI tools face added rules under 2024 Garante guidance on student records.

Firms in these sectors need sector-specific records beyond the base requirements. See our case studies to learn how peers handle conformance. Our founder's perspective on building for regulated markets is at our founder statement. Our plans and rates cover all sectors and firm sizes.

Sources

Ready to protect your data?

Start anonymizing PII with 285+ entity types across 48 languages.

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.