By George Curta · Last updated 2026-04-27
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.
Erronka
Finantza erakundeek datuen babesa bermatzeko baldintza zorrotzak aurre egin behar dituzte:
- •PCI-DSS-k ordainketa txartelen datuak babestu behar ditu
- •Araudi txostenek datuen minimizazioa eskatzen dute
- •Iruzurraren ikerketa taldeek datu seguruak partekatu behar dituzte
- •Bezero komunikazioek informazio finantzario sentikorra dute
Irtenbidea
Finantza zerbitzu datuetarako betetzearekin bat datorren anonimizazioa.
Financial Sector Enforcement Actions
Financial institutions face strict regulations globally. Cross-border data transfers without adequate PII protection lead to significant enforcement actions.
| Regulation | Jurisdiction | Max Penalty | anonym.legal Coverage |
|---|---|---|---|
| PCI-DSS | Global | $500K/month + card brand fees | |
| GDPR | EU/EEA | 4% global revenue or €20M | |
| CCPA/CPRA | California | $7,500 per intentional violation | |
| SOX | US Public Companies | $5M + 20 years imprisonment |
Irtenbidea
PCI-DSS Prest
Ordainketa txartelen zenbakiak detektatu eta babestu formatua mantentzen duten aukerekin.
Araudi Betetzea
Araudi txostenetarako datuen minimizazio baldintzak bete.
Iruzurraren Ikerketa
Ikerketa datuak seguru partekatu taldeetan eta agintarien artean.
Enkriptatze Aukera
AES-256-GCM enkriptatzea, behar denean, itzuli daitekeen anonimizazioa lortzeko.
Financial Entity Detection
anonym.legal detects all common financial data types across global formats, ensuring compliance regardless of where your customers are located.
Related Resources
€4.7 Billion: Why US Companies Pay 83% of GDPR Fines
Analysis of GDPR enforcement trends affecting financial institutions.
GDPR Compliance Checklist
50-point audit framework covering all key GDPR requirements.
GDPR Anonymization Tool
How to implement GDPR-compliant data anonymization.
Trusted by financial institutions
Babestu Finantza Datuak Gaur
Jar zaitez gurekin harremanetan zure finantza zerbitzu beharrak eztabaidatzeko.
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
- Common questions
- Glossary
- How tokens work
- Security posture
- Where we comply
- What we detect
- Case studies
- Release notes
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
- Open the web app and try a sample file.
- Learn how credits get counted.
- See current plans and limits.
- Meet the team behind the product.
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.