Accenture leverages Oracle’s Deep Data Security for database-driven trust boundaries
When AI agents become the application layer, the trust boundary moves — and Oracle and Accenture just showed where.
Why it matters
As enterprises deploy agentic AI systems, security architecture must shift. Accenture's work with Oracle's Deep Data Security demonstrates a practical pattern: pushing trust boundaries from the application layer to the database to maintain control when agents make autonomous decisions.
The key facts
9 to knowOracle Deep Data Security enables database-level trust boundaries for agentic architectures
Accenture Enkitec Group published research on agent-era security patterns
Premise: when application layer is an AI agent, traditional trust boundaries break down
Trust boundary relocation to database layer as mitigation strategy
Oracle Deep Data Security positions trust boundary at database layer (not application layer)
Accenture Enkitec Group published research on agent security architecture
Roger Cornejo, Accenture technology innovation principal director for gen AI, authored findings
Addresses security model shift required when agents become the application layer
Enterprise deployment pattern: agent-driven workflows require new security posture
The story so far
Earlier coverage of this storyline
- Oracle puts database security controls beneath AI agentsSiliconAngle
- This story
Go to the source
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Publisher excerpt: Oracle Corp.’s Deep Data Security offers a basic premise on enterprise security: When the application layer is an AI agent, the trust boundary must move somewhere else. The trust boundary can be relocated to the database, and Roger Cornejo (pictured), technology innovation principal director of gen…