In an era of AI where every click, purchase, and movement is tracked, privacy has become a universal concern, influencing nearly every aspect of our lives. However, current security and privacy protections often fall short, leaving individuals and organizations exposed to risks such as data misuse and illegal sharing. To address these challenges, security and privacy programs must evolve to balance innovation and safeguards for the modern digital landscape. This session will explore the intersections of security, privacy, technology, and governance, highlighting the need for stronger, more adaptive protections in today’s data-driven world. We will discuss the pervasive nature of AI data collection and its implications for personal autonomy and trust. Through a constructive lens, we will examine opportunities to implement privacy frameworks, focusing on practical approaches such as data minimization, notification, responsible data access, and oversight of emerging technologies like Gen AI.