oracle-deep-data-security-lab/docs/demo-guide-executive.md

Executive Demo Guide

Duration

30 to 45 minutes.

Main Message

Oracle Deep Data Security protects data at the source. Even when an AI agent, vibe-coded application, BI tool, or dynamic SQL attempts to query more data than it should, the database enforces authorization by end user, role, and context.

Demo Flow

1. Show the problem: an application or agent uses a powerful connection.
2. Run a risky request: "list all salaries and documents."
3. Show the excessive result in the baseline, when applicable.
4. Enable or explain the data grants.
5. Run the same query as a limited user.
6. Show that unauthorized rows and columns are filtered or masked.
7. Show a manager or HR user with broader authorized visibility.
8. Close with audit and governance evidence.

Recommended Customer Track

1. 05-legacy-app-ai-extension: safe legacy modernization with AI.
2. 06-rag-vector-classified-docs: authorized chunk retrieval before LLM context injection.
3. 07-audit-evidence-data-safe: evidence, auditing, and governance with Data Safe.

Value Statements

• "Authorization follows the user, not only the application."
• "Controls live in the database, where the data resides."
• "Applications, agents, and BI tools respect the same data boundary."
• "The policy is declarative, versionable, and auditable."