Kwa nini zana yangu ya kugundua PII inakosa majina na vitambulisho katika hati za Kijerumani, Kifaransa, na Kipolandi?

Zana nyingi za PII zinaelekezwa kwa Kiingereza — Steuer-ID ya Kijerumani (nambari 11 zenye checksum), NIR ya Kifaransa (nambari 15), au PESEL ya Kipolandi zina muundo wa kipekee ambao mifumo ya regex ya kawaida inakosa kabisa. anonym.legal inatumia safu ya kugundua ya ngazi tatu: mifano ya lugha ya asili ya spaCy kwa lugha 25 zenye rasilimali nyingi za Ulaya, Stanza kwa lugha 7 za ziada, na XLM-RoBERTa kwa wakala wa lugha nyingi kwa lugha 16 zenye rasilimali chache. Ikiwa na aina 285+ za vitambulisho ikiwa ni pamoja na vitambulisho vya DACH, Nordic, na Ulaya Mashariki, kugundua kunakidhi GDPR kunafanya kazi katika nchi zote wanachama wa EU.

Zana yetu inagundua SSN za Marekani lakini inakosa Steuer-IDs za Ujerumani, NIRs za Ufaransa, na Personnummer za Uswidi — tunawezaje kupata ulinzi kamili wa EU?

anonym.legal inatoa aina 285+ za vitu ikiwa ni pamoja na vitambulisho maalum vya nchi: Steuer-ID ya Ujerumani (nambari 11 zenye checksum), NIR ya Ufaransa (nambari 15 zenye kiashiria cha jinsia), Personnummer ya Uswidi (nambari 10 zenye kiashiria cha karne), nambari za NI/NHS za Uingereza, BSN ya Uholanzi, PESEL ya Poland, na mengine mengi. Kila kitambulisho kina uthibitisho maalum wa muundo na algorithimu za checksum zilizojengwa ndani. Presidio ya kawaida inagundua aina ~55 za vitu — anonym.legal inaongeza hii kwa mara 5 na watambuzi maalum wa eneo.

Presidio inatambua aina takriban 55 za vitu tu — tunahitaji vitambulisho vya ushuru vya Ulaya, IBANs, na nambari za usajili za Ujerumani. Je, kuna maktaba kamili?

anonym.legal inaongeza aina za vitu za msingi za Presidio ~55 hadi 285+ kwa kufunika kikanda kwa kina: vitambulisho vya ushuru na usajili wa DACH, fomati zote za EU IBAN, nambari za watu wa Nordic, nambari za NHS/NI za Uingereza, vitambulisho vya kitaifa vya APAC, CPFs na CUILs za Amerika ya Kusini, na vitambulisho vya kifedha (SWIFT, pochi za crypto). Watambuzi wote wanajumuisha uthibitisho wa muundo na uthibitisho wa checksum inapofaa.

By George Curta · Last updated 2026-04-072026-04-07

Rudi kwa Vipengele

Ugunduzi wa PII: Aina 285+ za Vitu

Injini yetu ya ugunduzi inayotumia regex inatambua aina zaidi ya 50 za taarifa za kibinafsi kwa usahihi wa msingi wa muundo. Ingizo sawa, matokeo sawa - kila wakati.

Jaribu Bure Marejeo Kamili ya Vitu

Jinsi Ugunduzi Unavyofanya Kazi

Ulinganifu wa Mifumo

Inatumia mifumo ya regex iliyoundwa kwa uangalifu kwa kila aina ya kitu, kuhakikisha matokeo yanayofanana na yanayoweza kutabiriwa katika hati zote.

Alama ya Kuaminika

Kila ugunduzi unajumuisha alama ya kuaminika (0-1) kulingana na nguvu ya muundo na muktadha, ikikusaidia kuchuja matokeo.

Uelewa wa Muktadha

Muktadha wa maandiko yanayozunguka unaboresha usahihi wa ugunduzi, ukipunguza matokeo yasiyo sahihi wakati wa kushughulikia kesi za mipaka.

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

Msaada wa Vitu vya Kijadi

Unahitaji kugundua mifumo ya kawaida? Unda aina zako za vitu kwa mifumo ya regex au tumia jenereta yetu ya mifumo inayosaidiwa na AI.

Uundaji wa Mifumo kwa Mikono

Taja mifumo ya regex kwa vitambulisho vya miliki kama vile vitambulisho vya wafanyakazi wa ndani, nambari za mradi, au nambari za rejea za kawaida.

Jenereta ya Mifumo ya AI

Eleza unachotaka kugundua kwa lugha rahisi, na AI yetu inazalisha mifumo ya regex iliyoboreshwa kwa ajili yako.

Jifunze kuhusu Uundaji wa Vitu vya AI →

Anza Kugundua PII Leo

Jaribu injini yetu ya ugunduzi bure na tokeni 200 kwa kila mzunguko. Hakuna kadi ya mkopo inahitajika.

Unda Akaunti ya Bure

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.

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.