Your AI Agent Wants Your Data. Here's How to Lock It Down - Jeff Smith, Oracle

Jeff Smith has built database tools at Oracle for 25 years, and he's here to make agents and databases get along safely. He explains why natural language to SQL is powerful but risky, since queries can run cleanly and still return the wrong data, and how Oracle's MCP server makes it safer: offering your team's vetted reports as tools instead of ad hoc SQL, pointing agents at a read-only standby for performance tuning, annotating schemas so agents stop brute-forcing your data dictionary, and deep data security that strips out rows a user isn't allowed to see before results ever reach the agent. Chapters: 0:00 Intro 0:56 What is the Oracle AI Database? 3:28 Why agents need database access 5:07 Use case 1: Reports as tools 7:09 Why natural language to SQL is risky 9:43 List reports, execute reports 11:30 Use case 2: Performance tuning 14:48 Use case 3: Schema docs for agents 17:27 Security: who's asking? 20:42 What's coming Jeff Smith https://www.oracle.com Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026. Applications live now!