GDPR to DPDP: Navigating Overlapping Data Protection Regimes

Any organization processing personal data of both European and Indian data subjects (which describes most global SaaS companies and a growing share of Indian enterprises with international customers) eventually has to answer whether being GDPR-compliant automatically satisfies India's Digital Personal Data Protection (DPDP) Act. The honest answer is: mostly, but not entirely, and the gaps matter.

Where the two frameworks agree

Both regimes are built around similar core ideas: data should be collected for specified purposes, consent should be genuine and specific, data subjects have rights over their own data, and organizations processing data at scale carry accountability obligations. If you've built a GDPR program with real consent management, a data subject rights process, and a data inventory, you have most of the scaffolding DPDP requires.

Where they diverge, and where compliance programs get caught out

Consent mechanics. GDPR permits multiple lawful bases for processing beyond consent: legitimate interest, contractual necessity, and others. DPDP's structure leans more heavily on consent (and a narrower set of "legitimate uses") as the operative basis for most processing. A program built around GDPR's legitimate-interest flexibility can find itself under-covered when DPDP expects clearer, more explicit consent capture for the same processing activity.

Children's data and consent age. The specific thresholds and verifiable parental consent requirements differ between the two regimes, and DPDP's approach to processing children's data is stricter in ways that generic global privacy programs sometimes miss entirely.

Breach notification timing and thresholds. Both require notification, but the triggering thresholds and timelines aren't identical. A program tuned only to GDPR's 72-hour standard can misjudge DPDP notification obligations if it isn't explicitly mapped.

Cross-border data transfer mechanics. GDPR's adequacy decisions, SCCs, and transfer impact assessments are a mature, well-litigated area. DPDP's cross-border transfer framework is newer and works differently: organizations that have GDPR transfer mechanisms in place still need a separate assessment for DPDP-covered data flows.

Building one program instead of two

Trying to run GDPR and DPDP as entirely separate compliance tracks doubles the effort for a large percentage of genuinely overlapping requirements. What works better in practice:

1. Build a single data inventory and processing register, tagged by which regime(s) apply to each data flow, rather than maintaining parallel documentation.
2. Design consent capture to the stricter standard where the two diverge, so you're not maintaining two different consent flows for functionally similar processing.
3. Map breach response procedures against both timelines explicitly, and default internal escalation to the tighter one.
4. Treat DPDP as its own assessment, not a checkbox against existing GDPR documentation. The two teams (legal/privacy and security) need to actually walk through DPDP's specific text together rather than assuming coverage.

Regulatory overlap is only going to increase as more jurisdictions introduce their own data protection regimes. The organizations that handle this well aren't the ones chasing every new law with a new parallel program. They're the ones who've built a data governance foundation flexible enough to be assessed against whichever regime applies next.