Privy Logo
AWS Logo

PRIVACY AFTER HOURS- EDITION 02

DPDP in the Age of AI

Roseate House, Delhi ·11th June 2026 · Closed-Door · Invitation Only

Privacy After Hours Edition 2 — DPDP in the Age of AI group photo

Privacy After Hours Edition 2 brought together leaders to confront one hard truth: AI doesn't get a governance exemption.

Conversations across panels didn't shy away from addressing some uncomfortable questions: Who's accountable when an AI model takes a call? How do you make DPDP and AI governance go hand-in-hand?

With the DPDP implementation deadline closing in, the message was clear: readiness now means embedding privacy by design into your AI stack, so everything remains auditable and traceable.

What We Covered

Privacy, AI & Cloud: Re-architecting Trust

Privacy, AI & Cloud: Re-architecting Trust

A panel discussion on AI data flows, LLM API risks, model governance, and what organisations can realistically demonstrate to regulators.
Crisis Room: AI-Driven Privacy Incident Simulation

Crisis Room: AI-Driven Privacy Incident Simulation

A live simulation exploring AI-specific breach scenarios, including why identity cannot always be simply engineered back out of a model.
The Leadership Lens on AI + DPDP

The Leadership Lens on AI + DPDP

A panel discussion on AI procurement, consent infrastructure, model risk, and leadership accountability.
MIT Page Background

Who Was In The Room

Senior leaders across:

Privacy

Privacy

Legal

Legal

Security

Security

Risk

Risk

Product

Product

Compliance

Compliance

Business Operations

Business Operations

Industries represented:

Banking & Lending

Banking & Lending

Fintech

Fintech

Insurance

Insurance

Retail & Digital

Retail & Digital

Enterprise Tech

Enterprise Tech

MIT Page BackgroundMIT Page Background

Glimpses From Privacy After Hours Edition 2

Moment 1
Moment 3
Moment 4
Moment 2
Moment 5
Moment 6
MIT Page Background
IconForTop

Hear from the Attendees of Edition 2

‘Privacy After Hours’ was a well-thought-out and curated event bringing the relevant privacy stakeholders from across the industry to exchange notes on the learnings, implementation challenges, and next steps. The opportunity to get the DPDP perspective directly from Justice BN Srikrishna was very enriching.

The curated dialogues by Justice B.N. Srikrishna and Mr Supratim Chakraborty from Khaitan & Co. were really insightful. The biggest takeway from the event for me was implementing privacy-by-design from inception and leveraging privacy for trust, resilience and ROI.

I appreciated the interactive format with lawyers and practitioners openly discussing the real DPDP implementation roadmap. Justice Srikrishna’s session was particularly valuable in grounding the key provisions in their original policy context. The event made DPDP feel less like abstract law and more like a practical governance journey.

The focus on moving from policy to practice made the session extremely relevant. The discussion on the first 90 days after the DPDP Rules reinforced how governance, accountability, and operational readiness must move in parallel. A timely and highly practical exchange for privacy leaders.

Congratulations to IDfy and KCO for hosting a brilliant event. The DPDP Act is one of the most consequential pieces of legislation for India's digital and AI journey. It was a privilege to hear about the making of the law from its original architect, Hon. Justice BN Srikrishna. Great interactions, amazing evening.

It was a fantastic evening, really loved the insightful session by Justice Srikrishna and the incident management simulation led by Mr. Supratim.

One key takeaway for me was that privacy should no longer be viewed as a compliance exercise. In an AI-driven world, it is becoming a strategic business enabler and a foundation for customer trust.

Data sovereignty, supply chain accountability, and hybrid AI architectures emerged as the critical pillars for responsible AI adoption. The live AI breach simulation and the emphasis on operationalizing privacy, through AI inventories, DPIAs, and continuous vendor oversight, made the abstract risks of DPDP compliance feel immediate and actionable. Key takeaway: Privacy, AI, and data governance are foundational to trust and cybersecurity. With just 12 months to go, DPDP readiness demands immediate, thought-through execution across the entire AI lifecycle – from data collection to decision accountability.

MIT Page Background

Request An Invitation for Privacy After Hours Edition 3

We review every request to ensure the right mix of functions, sectors, and seniority. Shortlisted attendees will be confirmed ahead of the event.