DPDP Act 2023 Compliance

How to Achieve DPDP Compliance for Generative AI: A Practical Guide for Indian Businesses

Generative AI has become part of everyday work, but every prompt is also a possible data transfer. For Indian businesses, DPDP Act 2023 compliance now needs practical controls that stop personal data, credentials, and regulated information before they enter AI tools.

Published by Sentraiq | Updated May 5, 2026

The Compliance Gap

Traditional DLP was built for email gateways, file uploads, and endpoint storage. It often misses the real-time moment when an employee pastes customer data, an API key, an Aadhaar number, a support transcript, or a bank identifier into a generative AI prompt.

This gap matters because AI prompts are fast, informal, and hard to review manually. A user may ask an AI assistant to summarize a bank statement, debug a payment workflow, translate a support case, or clean a Postman request. Without DLP for AI, sensitive data can leave the browser before security teams know it existed.

DPDP Act 2023 compliance is not only about policies. Businesses need controls that reduce disclosure risk at the point of action. That means detecting sensitive patterns in prompts, warning users clearly, and masking data locally before it is sent.

3 Steps to Safety

1. Use prompt sanitization before submission. Real-time prompt sanitization helps remove or mask sensitive data before employees send prompts to AI tools. This is especially important for credentials, personal identifiers, financial data, and customer support records.
2. Train employees on AI data handling. Teams should know which data types cannot be pasted into AI systems, how to recognize high-risk prompts, and when to use masking or redaction. Training works best when paired with browser-level warnings at the moment of risk.
3. Prefer local-first data processing. Local-first DLP keeps inspection inside the browser rather than sending prompts to external scanners. This reduces privacy exposure and supports DPDP-aligned controls by limiting unnecessary data movement.