Quick Answer
The Digital Personal Data Protection (DPDP) Act 2023 is India's comprehensive data protection law that governs how personal data of Indian citizens is collected, processed, and stored. For AI applications, DPDP compliance means: obtaining explicit consent before processing personal data, implementing purpose limitation, detecting and redacting PII before it reaches LLMs, maintaining audit logs, enabling data subject rights (access, correction, erasure), and appointing a Data Fiduciary. Non-compliance carries penalties up to ₹250 crore per violation.
₹250 crore
Max Penalty Per Violation
20+ incl. Aadhaar & PAN
PII Types Detected by BoundrixAI
6–8 weeks
Time to DPDP-Ready Architecture
Before any processing
Consent Capture Required
What the DPDP Act 2023 Requires for AI
The DPDP Act establishes seven core principles for data processing: lawfulness and purpose limitation; collection minimization; data accuracy; storage limitation; data security; accountability; and data subject rights. For AI applications specifically, this means: you cannot pass raw user inputs containing personal data directly to a third-party LLM API (like OpenAI) without consent and PII redaction; you must log all AI-driven processing decisions; and users must be able to request deletion of their data from your AI system's memory and logs.
DPDP vs GDPR: Key Differences for AI Teams
Unlike GDPR, DPDP does not require a legal basis beyond consent for most processing, but the consent bar is higher (it must be explicit, specific, and withdraw-able). DPDP also includes special provisions for 'significant data fiduciaries' (high-volume processors) who must conduct data protection impact assessments. Critically, DPDP covers data of Indian citizens globally, if your EU-based AI product processes data from Indian users, DPDP applies.
How To Build a DPDP-Compliant AI Architecture
Step 1: Map all personal data flows into your LLM application. Step 2: Implement PII detection and redaction at the gateway layer, BoundrixAI detects 20+ entity types including Aadhaar numbers, PAN cards, phone numbers, and email addresses, and redacts them before forwarding to any LLM. Step 3: Implement consent capture with a timestamped audit trail. Step 4: Enable data subject rights APIs (access, correction, erasure) in your application. Step 5: Appoint a Data Fiduciary and document your data processing activities.
| Requirement | GDPR | DPDP 2023 | How BoundrixAI Helps |
|---|---|---|---|
| Consent basis | 6 legal bases | Explicit consent (primary) | Consent policy hooks |
| PII before LLM calls | No explicit rule | Must not expose raw PII | Auto-redaction <5ms |
| Right to erasure | Required | Required | Audit log purge API |
| Penalties | €20M / 4% revenue | ₹250 crore per violation | Compliance posture docs |
| Cross-border transfer | Adequacy decisions | Gov-notified countries only | Data residency routing |
Frequently Asked Questions
What is the DPDP Act 2023?
Does DPDP apply to AI applications?
Can I send Indian user data to OpenAI or Anthropic?
What is a Data Fiduciary under DPDP?
How long does it take to make an AI app DPDP compliant?
What are the penalties for DPDP non-compliance?
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