By · Last updated 2026-04-07

Rilevamento PII: Oltre 50 Tipi di Entità

Il nostro motore di rilevamento basato su regex identifica oltre 285 tipi di informazioni personali con precisione basata su modelli. Stesso input, stesso output - ogni volta.

Come Funziona il Rilevamento

Corrispondenza dei Modelli

Utilizza modelli regex accuratamente elaborati per ciascun tipo di entità, garantendo risultati coerenti e prevedibili in tutti i documenti.

Punteggio di Affidabilità

Ogni rilevamento include un punteggio di affidabilità (0-1) basato sulla forza del modello e sul contesto, aiutandoti a filtrare i risultati.

Consapevolezza del Contesto

Il contesto del testo circostante migliora l'accuratezza del rilevamento, riducendo i falsi positivi mentre cattura casi limite.

Supported Entity Types

Comprehensive coverage of personal information types across categories

Personal Identifiers

  • Person Names
  • Email Addresses
  • Phone Numbers
  • Date of Birth
  • Age
  • Gender
  • Nationality

Financial Information

  • Credit Card Numbers
  • IBAN
  • BIC/SWIFT
  • Bank Account Numbers
  • Tax IDs
  • VAT Numbers

Government IDs

  • Social Security Numbers (SSN)
  • National ID Numbers
  • Passport Numbers
  • Driver's License
  • Health Insurance IDs

Location Data

  • Street Addresses
  • Cities
  • ZIP/Postal Codes
  • Countries
  • GPS Coordinates

Digital Identifiers

  • IP Addresses (v4/v6)
  • MAC Addresses
  • URLs
  • Domain Names
  • User IDs

Organization Data

  • Company Names
  • Organization IDs
  • Registration Numbers
  • Department Names

Temporal Data

  • Dates
  • Times
  • Date Ranges
  • Timestamps

International Formats

  • German ID (Personalausweis)
  • UK National Insurance
  • Spanish DNI/NIE
  • Italian Codice Fiscale
  • And 20+ more country-specific formats

Supporto per Entità Personalizzate

Hai bisogno di rilevare modelli personalizzati? Crea i tuoi tipi di entità con modelli regex o utilizza il nostro generatore di modelli assistito da AI.

Creazione Manuale di Modelli

Definisci modelli regex per identificatori proprietari come ID interni dei dipendenti, codici di progetto o numeri di riferimento personalizzati.

Generatore di Modelli AI

Descrivi cosa vuoi rilevare in linguaggio semplice e la nostra AI genera modelli regex ottimizzati per te.

Scopri di più sulla Creazione di Entità AI

Inizia a Rilevare PII Oggi

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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.