Five Foundational Controls for Using Sensitive Data with AI

AI can process sensitive information at machine speed, so data protections need to keep pace. This session outlines five foundational controls that let organizations put personal, health, and financial data to work with AI while keeping risk in check.

■ Five Foundational Controls
- Visibility: gaining a single view of where sensitive and regulated data lives, moves, and who uses it
- Classification: identifying and labeling data by sensitivity level automatically and continuously before it reaches AI
- Residency, Sovereignty & Localization: understanding where data is stored, whose laws apply, and where it must be processed
- Access Control (IAM): administration, authentication, authorization, and audit as four pillars of identity and access management
- Evidence: automated logging, immutable audit trails, and reporting that satisfy auditors and regulators
- Putting It All Together: how these controls turn compliance exposure into a usable strategic asset

This content is aimed at security, governance, and compliance professionals as well as leaders rolling out AI in their organizations. Viewers will come away with a practical framework for assessing their own data controls and a clear sense of where to focus first.