35 lines
1.3 KiB
Markdown
35 lines
1.3 KiB
Markdown
# Executive Demo Guide
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## Duration
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30 to 45 minutes.
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## Main Message
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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.
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## Demo Flow
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1. Show the problem: an application or agent uses a powerful connection.
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2. Run a risky request: "list all salaries and documents."
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3. Show the excessive result in the baseline, when applicable.
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4. Enable or explain the data grants.
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5. Run the same query as a limited user.
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6. Show that unauthorized rows and columns are filtered or masked.
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7. Show a manager or HR user with broader authorized visibility.
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8. Close with audit and governance evidence.
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## Recommended Customer Track
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1. `05-legacy-app-ai-extension`: safe legacy modernization with AI.
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2. `06-rag-vector-classified-docs`: authorized chunk retrieval before LLM context injection.
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3. `07-audit-evidence-data-safe`: evidence, auditing, and governance with Data Safe.
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## Value Statements
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- "Authorization follows the user, not only the application."
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- "Controls live in the database, where the data resides."
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- "Applications, agents, and BI tools respect the same data boundary."
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- "The policy is declarative, versionable, and auditable."
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