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!

Видео Oracle Deep Data Security: Securing Data for the Agentic AI Era канала Oracle Developers