Global compliance has entered a new phase. Privacy regulations no longer operate in isolation—and AI regulation has accelerated the complexity. In 2026, organizations are navigating overlapping mandates from the EU AI Act, DORA, and evolving U.S. Executive Orders, all while data moves freely across borders, systems, and AI models.
This webinar takes a practical look at what cross-border compliance really requires in an AI-driven enterprise. We’ll break down how these regulations intersect, where they diverge, and what they collectively demand from privacy and compliance teams responsible for managing sensitive data at global scale. More importantly, we’ll explore how leading organizations are operationalizing compliance – moving beyond policy interpretation to continuous execution.
Join us for a deep dive into how data visibility, classification, and control enable organizations to meet regulatory expectations with confidence – without slowing innovation or overburdening teams.
Key Takeaways:
- What the EU AI Act, DORA, and U.S. Executive Orders collectively mean for data privacy and AI governance
- Where global regulations overlap—and where conflicting requirements create risk
- How cross-border data flows complicate compliance in AI training and operations
- How continuous data discovery and classification support defensible compliance at scale
- Practical strategies for moving from reactive compliance to proactive regulatory readiness
Speakers:
- Alissa Lynwood, Associate, Wiley Rein LLP
- Heather Kuhn, Sr. Privacy Counsel, BigID
- Ron Whitworth, CPO, Truist
- Jason M. Loring, Partner Co-Chair, Privacy, Data Strategy, and AI, Jones Walker LLP