aiqbench analysis
This article focuses on shifting trust boundaries to the database layer when AI agents manage application logic, a critical architectural shift for securing enterprise data in AI-driven environments. By enforcing access policies directly within SQL regardless of agent-generated queries, this approach addresses the escalating risks associated with autonomous AI systems interacting with sensitive repositories.
Accenture leverages Oracle’s Deep Data Security for database-driven trust boundaries
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 AI/AI at Accenture Enkitec Group, has published research results […] The post Accenture leverages Oracle’s Deep Data Security for database-driven trust boundaries appeared first on SiliconANGLE.
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 AI/AI at Accenture Enkitec Group, has published research results…
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