By · Last updated 2026-06-30

€4.7B in GDPR Fines to US Financial Firms

Financial Data Protection Across Jurisdictions

Cross-border transactions mean multi-jurisdiction compliance. anonym.legal detects PCI-DSS, GDPR, and CCPA-relevant entities across 48 languages, with reversible encryption for regulatory audits and investigation requests.

€4.7B
GDPR fines to US companies
285+
Financial entity types
48
Languages supported

Related: Browse finance practice areas

課題

金融機関は厳格なデータ保護要件に直面しています:

  • PCI-DSS は支払いカードデータの保護を要求しています
  • 規制報告はデータ最小化を要求しています
  • 不正調査チームは安全なデータ共有が必要です
  • 顧客とのコミュニケーションには機密財務情報が含まれています

ソリューション

金融サービスデータのためのコンプライアントな匿名化。

Financial Sector Enforcement Actions

Financial institutions face strict regulations globally. Cross-border data transfers without adequate PII protection lead to significant enforcement actions.

RegulationJurisdictionMax Penaltyanonym.legal Coverage
PCI-DSSGlobal$500K/month + card brand fees
GDPREU/EEA4% global revenue or €20M
CCPA/CPRACalifornia$7,500 per intentional violation
SOXUS Public Companies$5M + 20 years imprisonment

ソリューション

PCI-DSS 対応

書式保持オプションで支払いカード番号を検出・保護します。

規制コンプライアンス

規制報告のデータ最小化要件を満たします。

不正調査

チーム間および当局との調査データを安全に共有します。

暗号化オプション

必要な場合に可逆匿名化のための AES-256-GCM 暗号化。

Financial Entity Detection

anonym.legal detects all common financial data types across global formats, ensuring compliance regardless of where your customers are located.

Credit card numbers (all major brands)
IBAN codes (140+ countries)
SWIFT/BIC codes
US bank account numbers
US Social Security numbers
UK National Insurance numbers
German Steuer-ID
Crypto wallet addresses
VAT numbers (EU)
Tax identification numbers
Account holder names
Transaction references

Trusted by financial institutions

ISO 27001 Aligned
Germany (EU) Hosted
AES-256-GCM Encryption
PCI-DSS Entities

今すぐ財務データを保護

金融サービスの要件についてご相談ください。

Limitations / Important note

  • Using this tool does not by itself satisfy financial-sector regulatory obligations; assess compliance for your jurisdiction.
  • Detection is probabilistic; high-stakes outputs should be human-reviewed. This is not legal advice.

How we measure — our methodology

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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.

Hetzner holds 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.