As privacy incidents increasingly lead to regulatory scrutiny and class-action litigation, organizations are under growing pressure to quickly and defensibly identify what sensitive information may have been exposed. Data mining has become a critical step in that process, shaping not only notification decisions but also the risk profile an organization faces in the months and years that follow. When done thoughtfully, it can help organizations accurately scope incidents, reduce unnecessary notification and ensure that decisions can withstand scrutiny from regulators, plaintiffs' counsel and courts. 

In this session, panelists from incident response, privacy litigation and data mining operations will share practical insights from the front lines of breach response. The discussion will explore how privacy teams can better understand and evaluate data mining workflows, common pitfalls that can create downstream litigation risk and lessons learned from recent matters where early investigative decisions had long-term consequences. Attendees will leave with a clearer understanding of how defensible data mining supports both incident response and litigation strategy in an era of rising class-action activity.