multi-regulatory compliance guide.
The Challenge
Global organizations processing customer data from Brazil, India, and the US need to detect three fundamentally different national identifier formats: Brazilian CPF (11-digit with specific check digit algorithm, format XXX.XXX.XXX-XX), Indian Aadhaar (12-digit random number), and US SSN (9-digit with area/group/serial structure). Each has different validation logic. Brazilian LGPD and Indian DPDP are increasingly enforced regulations that add CPF and Aadhaar to the list of protected identifiers organizations must handle correctly. Most US-built PII tools detect SSN reliably but miss CPF and Aadhaar.
By the Numbers
- GDPR Article 28 requires written DPA for every data processor
- 63% of organizations have undocumented subprocessors (DLA Piper 2024)
- average enterprise has 487 data processors listed in ROPA (IAPP 2024)
Real-World Scenario
A UK-based global marketplace processes seller verification documents from 80 countries. Their compliance team needs to meet GDPR (EU sellers), LGPD (Brazilian sellers), and DPDP (Indian sellers) simultaneously. anonym.legal's 260+ entity library covers all three regulatory regimes' identifiers in a single processing pipeline — replacing three separate tools with one.
Technical Approach
260+ entity types include Brazil CPF, CNPJ; India PAN, Aadhaar (where detectable by format); all US state driver's licenses, SSN, EIN, ITIN; all EU member state identifiers. Single anonymization pass covers global multi-regulatory compliance.
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