DPDP AI Data Governance Guide
AI companies must manage training data and model logs under DPDP. Learn how to handle personal data in AI prompts, fine-tuning, and model training.
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DPDP Action Sheet
Use this before your next workflow goes live. It keeps the useful parts visible and turns DPDP into checks your team can actually answer.
For DPDP AI Data Governance Guide, the DPDP question is how personal data enters the workflow, where it is stored, which tools touch it, what purpose was explained, and how deletion or withdrawal will work.
1. Lead Forms
Check:
- What data are you collecting?
- Is the purpose clear at the point of collection?
- Is marketing consent separate from service communication?
- Can the user withdraw consent later?
Common mistake: one checkbox that silently covers newsletters, sales calls, partner sharing and remarketing.
2. Email and WhatsApp
Check:
- Who is on the list?
- Where did consent come from?
- Is the list imported from a vendor, event, webinar, scrape or old CRM?
- Can you prove the source of consent?
Common mistake: treating every lead as permanently marketable.
3. Ads and Retargeting
Check:
- Are pixels or ad platforms receiving identifiable user behavior?
- Are audiences built from customer lists?
- Are lookalike or remarketing audiences using personal data?
Common mistake: assuming "the ad platform handles it" means your company has no DPDP responsibility.
4. Website Analytics
Check:
- Which tools run on the site?
- Are IP address, device identifiers, session IDs or form fields being captured?
- Is analytics used only for measurement, or also for profiling and targeting?
Common mistake: installing tools first and asking privacy questions later.
5. Vendor List
Make a quick list:
- CRM
- Email platform
- WhatsApp provider
- Analytics
- Ad pixels
- Form tool
- Landing page builder
- Webinar tool
For each vendor, answer: what data goes there, why, who can access it and how deletion works.
6. This Week's Action
Map one campaign from first click to final follow-up. Mark every place personal data is collected, enriched, shared, uploaded or used for targeting.
If your team cannot answer where the data came from and where it goes next, start with a data flow map before rewriting policy copy.
Book a DPDP clarity callNow think about your work. Where does personal data enter your workflows? Where does it sit? Who else touches it?
Frequently asked questions
Can we use scraped public data to train AI models under DPDP?
No. DPDP does not provide a blanket exemption for publicly available data. If the data contains personal information of Indian residents, you must have a valid legal basis or consent to process it for training.
Are user prompts considered personal data?
Yes. Prompts often contain names, email addresses, or professional details. These must be treated as personal data, requiring clear notice to the user and strict access controls for logs.
How do we handle a deletion request if data is already in a trained model?
DPDP requires the removal of personal data once consent is withdrawn or the purpose is met. AI firms must implement technical measures like machine unlearning or data scrubbing before the training phase to comply.