In public cloud environments — within the current landscape of digital transformation and GenAI — data localization, data sprawl, and achieving a zero trust approach prove common challenges. As Risk Executives grapple with data overload, how can they increase their visibility and improve context in order to better prioritize data risks and subsequent actions?

This discussion will explore best practices and models in situations including

• Recognizing sensitive data exposures within supply chains
• Implementing zero trust models and least privilege access controls
• Improving the discovery of shadow data repositories and their associated risks
• Leveraging automation to build a consistent data classification system across your entire data estate — for both cloud-native and hybrid/on-prem data
• How can we build a viable, real-time threat detection system to monitor anomalous data access activity that provides early warning to risk professionals?