DPDP compliance checklist: a step-by-step guide

Before you start

Two things make DPDP compliance manageable: executive sponsorship (someone accountable, with budget) and a defined scope (which systems, data and business units are in play). A Data Fiduciary that treats this as a legal-only exercise will miss the operational work that actually creates compliance.

The DPDP compliance checklist

1. Map your personal data — build an inventory of every personal-data flow: what you collect, where it lives, which systems (including AI models) use it, and who you share it with.
2. Establish a lawful basis and rework consent — make consent clear, specific and withdrawable, and deploy an auditable consent-management mechanism across every touchpoint.
3. Update your privacy notices — clear, plain-language notices available in English and India's scheduled languages.
4. Set retention and deletion workflows — automated retention limits and a working process to honour erasure requests, including across backups and AI models.
5. Honour Data Principal rights — access, correction, erasure and a grievance-redress channel that actually reaches a person.
6. Implement reasonable security safeguards — encryption, access control, logging and monitoring appropriate to your risk.
7. Build breach detection and notification — the ability to detect a breach and notify the Board and affected individuals within the required timelines.
8. Handle children's data — verifiable parental consent, and no tracking or targeted advertising to children.
9. Appoint accountability — a grievance officer for everyone, and a Data Protection Officer in India if you're a Significant Data Fiduciary.
10. Keep auditable evidence — records of consent, decisions, controls and processing, because compliance you can't evidence is compliance the Board won't credit.

DPDP compliance for AI systems

AI adds steps most checklists miss: confirm every training dataset has a valid purpose and consent trail, quarantine data that doesn't, and design how a deletion request reaches a trained model. This is where DPDP and AI governance overlap.

From checklist to evidence

A checklist tells you what to do; the Board wants proof you did it. Turn each item into a documented artefact — your data map, consent records, retention policy, breach runbook and grievance log — so you can demonstrate compliance on demand.

How AramGRC helps

AramGRC runs a DPDP readiness assessment that maps your data across your AI and IT footprint, scores you against every obligation, and hands you a prioritised roadmap — so the checklist becomes a plan.