Webinar

About This Webinar
With just 11 months left before AI governance and DPDP readiness become business imperatives, organisations are entering a critical phase in which every AI system that processes personal data must be governed, documented, and held accountable.
This Webinar Covers:
Where India's AI governance landscape stands in 2026 and where enterprise risk is highest
The DPDP obligations that apply to AI systems processing personal data, along with an 11-month readiness roadmap
How to conduct AI-specific Privacy Impact Assessments (PIAs) for LLMs, copilots, and agentic AI systems
Building governance frameworks that define accountability across privacy, legal, product, engineering, and AI vendors
Creating continuous, audit-ready AI governance that aligns innovation with DPDP compliance
Why Watch This Now
- AI governance is moving from experimentation to accountabilityUnderstand how DPDP applies to AI systems today and what organisations need to put in place over the next 11 months to stay compliant.
- Govern AI before compliance gaps become business risksLearn how to address consent, purpose limitation, AI vendor accountability, and privacy impact assessments before they become audit or regulatory concerns.
- Build AI innovation on a foundation of trustDiscover how privacy, legal, product, engineering, and security teams can work together to deploy AI responsibly without slowing innovation or business growth.
Speakers

Tridib Mukherjee
Chief Data Scientist and AI Officer
IDfy

Pramod Pal
Chief Information Security Officer
TATA CLiQ

Animesh Mishra
Director of Engineering
Jupiter






