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GDPR, CCPA, and PDPA in One Tool

EU employees under GDPR, US employees handling CCPA data, APAC employees under PDPA. Three jurisdictions, one distributed team.

May 29, 20268 minute read
global privacyGDPR CCPA PDPAmulti-jurisdictionremote work complianceinternational data

GDPR, CCPA, and PDPA in One Tool.

Updated for 2026.

Your EU staff fall under GDPR. Your California staff handle CCPA records. Your Singapore staff work under PDPA. Three frameworks. One shared database.

This is the global privacy challenge for remote teams. The customer records they access are the same. The rules that govern those records are not.

The Multi-Jurisdiction Gap

A support group in Germany, California, and Singapore may all open the same customer account. The name, email, and account details in that record face different rules in each country.

Under GDPR, there must be a legal basis for each use. Under CCPA, the customer can request deletion and opt out. Under PDPA, consent and transfer rules apply.

Sharing a customer file with an AI assistant can trigger duties under all three laws at once. One action. Three frameworks.

Regional software cannot solve this. It makes the problem worse.

Why One Platform Per Region Fails

The instinct is to match the software to the location. US staff get a US solution. EU staff get an EU solution. APAC staff get an APAC solution.

This breaks in practice.

The data does not follow the platform. A California agent handling a German customer's complaint is still bound by GDPR. The EU customer's right to erasure applies. The US solution may not include German national ID formats or IBAN numbers. That is a gap.

Setup splits into three systems. Three platforms mean three audit trails. Three coverage setups. Three sets of entity types that may not align. One unified report becomes a manual merging task.

Cross-border transfers lack a clear answer. A US analyst may get an export with EU customer records. Under GDPR, the law follows the data subject — not the analyst's location. A US-only solution does not fix that.

See the legal compliance guide for how cross-border duties stack.

Entity Coverage Across Regions

PII identifiers differ by country. A platform built for one market will miss identifiers from another.

EU entities (GDPR):

  • German Personalausweis and Steuernummer.
  • French Numéro de Sécurité Sociale.
  • Spanish DNI and NIE.
  • IBAN and BIC for EU banking.

US entities (CCPA / HIPAA):

  • Social Security Number (SSN) and EIN.
  • State driver's license formats.
  • Medicare and Medicaid numbers.
  • HIPAA's 18 protected health identifiers.

APAC entities (PDPA, PIPL, PDPB):

  • Singapore NRIC and FIN.
  • Thai national ID (13-digit).
  • Chinese Resident Identity Card (18-digit) and mobile numbers.
  • Indian Aadhaar and PAN card.

A US-centric solution covers SSNs reliably. It will miss a German Personalausweis. An EU solution covers IBAN and national IDs. It may not detect an Aadhaar number.

Full coverage means entity types for every relevant market. Not just the software's home region.

Browse the full entity library at /entities.

Preset Setup Per Jurisdiction

The practical answer: one detection engine with presets per region.

GDPR Standard preset (EU staff): All 18 GDPR personal data types. EU national ID formats. EU banking numbers. Thresholds set for GDPR's broad scope.

CCPA / HIPAA preset (US staff): SSN, EIN, Medicare and Medicaid numbers. State ID and license formats. US financial account numbers. HIPAA's 18 PHI types for staff handling health records.

APAC Privacy preset (APAC staff): Singapore NRIC and FIN. Thai national ID. Chinese resident ID and mobile numbers. Indian Aadhaar and PAN. Country flags where needed.

Each preset is set once at the center. It is available to every person. Apply it for the employee's region or for the data subject's region. Use whichever is more strict. The engine applies the stricter rule.

Read about how presets work in the FAQ.

Case Study: 50-Person SaaS Company

A remote-first SaaS company ran its annual privacy audit. Staff were in Germany (18), California (22), and Singapore (10).

Before the switch:

The Germany group used an EU masking platform. The California group used a US solution with limited EU entity coverage. The Singapore group had no masking software. The audit found uneven standards across all three regions. The Singapore finding was an open gap.

After the switch to one platform:

  • GDPR preset for Germany, with EU entity types and 48-language support.
  • CCPA preset for California, covering US entity types and CCPA types.
  • PDPA preset for Singapore, covering APAC identifiers.
  • One central audit trail covering all 50 employees.
  • EU residency for all records processed through the service.

This setup meets GDPR Article 46 for cross-border transfers within the service.

2025 audit result: Zero findings on masking mismatches. The prior Singapore gap closed.

See how enterprise groups document technical measures at /security-compliance.

Conclusion

Global privacy compliance is not three separate problems. It is one: consistent technical controls across every region.

Same detection engine. Same audit trail. Different presets for different laws. One service handles all three.

Learn how anonym.legal supports global teams at /pricing.

Sources

  • GDPR Article 3: Territorial Scope. gdpr-info.eu/art-3-gdpr/
  • California Consumer Privacy Act (CCPA/CPRA). oag.ca.gov/privacy/ccpa
  • Thailand Personal Data Protection Act (PDPA). pdpa.go.th
  • GDPR Article 46: Cross-border transfers. gdpr-info.eu/art-46-gdpr/

Ready to protect your data?

Start anonymizing PII with 285+ entity types across 48 languages.

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.