Oracle Deep Data Security: Securing Data for the Agentic AI Era

Oracle Deep Data Security is now Generally Available! Join this session to learn about Oracle's database-native approach to protecting enterprise data across cloud and on-prem environments. Built for modern AI-driven applications, Deep Sec enforces fine-grained, identity-aware access control directly in the database¿down to the row, column, and cell level. This ensures users and AI agents can only access the data they¿re authorized to see. Secure your data at the source and enable AI innovation with confidence. 01:06 Announcements 03:54 Oracle Deep Data Security 05:11 OWASP Top 10: Security risks in AI systems 08:46 Application-layer security worked when the app-controlled access 11:00 Agentic AI turns authorization gaps into data leaks 13:26 Deep Data Security demo video 16:51 Our approach 18:15 Comparison to VPD and RAS 20:23 Identity-aware, context-sensitive enforcement 22:47 Row-level security 23:50 Column and cell-level security 26:41 Back to the demonstration video - using Deep Sec 29:35 HCM web application demonstration 35:12 Using Deep Sec SQL functions to determine authorization 39:18 Live demonstration based on our Oracle LiveLabs FastLab 49:59 Audit Deep Data Security activity 51:53 Available in the April Release Update of Oracle AI Database 26ai 53:30 Available Resources for Deep Data Security 54:15 Developer Resources 54:50 Reach out if you have a project you're considering Deep Data Security for!