Data Privacy in the AI Era
The Four Risks Indian
Corporations Have
Already Inherited
A Thought Leadership Report on AI Privacy Risks in the DPDPA Era.
A Flagship Programme by Privy by IDfy.
Why This Research Matters
AI systems are already influencing business-critical decisions across Indian enterprises, from lending and hiring to fraud detection and customer profiling.
But while AI adoption has scaled rapidly, governance around consent, accountability, explainability, and vendor oversight is still struggling to keep pace.
This report explores the privacy risks organisations have already inherited in the age of AI under the DPDP Act, 2023, and DPDP Rules, 2025.
Who should read this report
Privacy & Compliance Leaders
Board & Governance Stakeholders
Enterprise & Technology Decision-Makers
High AI-Adoption Industries
What You'll Learn From This Report
The Four AI Privacy Risks
Explore the key privacy risks emerging from AI deployment under the DPDPA Act and DPDP Rules, 2025.
Industry-Specific AI Governance Gaps
Understand how AI privacy exposure manifests across BFSI, fintech, healthcare, HR tech, retail, and telecom.
The AI & Data Lifecycle
Learn where privacy risk enters across data collection, vendor sharing, model training, and automated decision-making.
Emerging Regulatory Expectations
Decode how DPDP, RBI, and SEBI are shaping accountability expectations for AI governance in India.
Closing Perspectives
"AI is no longer experimental. It is making decisions that affect customers, employees, businesses, and risk right now, across sectors. The way forward is not to slow AI down. It is to build the control layer that allows AI to scale with trust."
"The organisations that lead in the AI era will not be those that deploy the fastest. They will be those that wire accountability into their architecture from the start because retrofitting governance onto complex AI systems gets structurally harder with every cycle."
Frequently Asked Questions
Because AI systems are increasingly processing personal data beyond their original consent boundaries, creating new privacy and accountability risks under the DPDP Act and DPDP Rules, 2025.
The report focuses on four core risks: Purpose Limitation Failure, The Vendor Blindspot, Inferential Privacy Risk, and The AI Audit Trail Problem.
Yes. The report outlines practical governance measures to help organisations strengthen AI accountability, auditability, vendor oversight, and privacy governance.
shivani@idfy.com
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