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

挑战

金融机构面临严格的数据保护要求:

  • PCI-DSS 要求保护支付卡数据
  • 监管报告需要数据最小化
  • 欺诈调查团队需要安全的数据共享
  • 客户通信包含敏感金融信息

解决方案

符合合规要求的金融服务数据匿名化方案。

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

解决方案

PCI-DSS 就绪

检测并保护支付卡号,提供格式保留选项。

监管合规

满足监管报告的数据最小化要求。

欺诈调查

在团队之间及与监管机构之间安全共享调查数据。

加密选项

AES-256-GCM 加密,在需要时实现可逆匿名化。

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

立即保护金融数据

联系我们讨论您的金融服务需求。

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.