Data privacy continues to be one of the most critical and rapidly evolving challenges facing the connected vehicle ecosystem. As real-time vehicle data becomes foundational to innovation in insurance, mobility services, and OEM platforms, organizations are under increasing pressure to manage that data responsibly, compliantly, and securely. This session will explore how the industry is responding to new and emerging regulations, including developments in U.S. state laws, GDPR enforcement, and AI governance, and how these shifts are shaping vehicle data practices across the value chain. Attendees will gain insight into leading privacy-preserving frameworks, de-identification strategies, and edge-processing approaches that reduce risk while preserving data utility. Designed for both technical and business stakeholders, this session offers a practical look at what "privacy-by-design" means in real-world applications and how companies can build scalable, compliant data architectures that support innovation without compromising trust.