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Oracle is pivoting its security strategy to protect enterprise data directly, acknowledging that traditional application-layer controls are insufficient for autonomous AI agents with broad access. The company leverages AI models to rapidly identify vulnerabilities and advocates for moving trust layers closer to the database to mitigate risks of data leakage or corruption by agentic systems. This shift highlights the critical need for intrinsic security mechanisms as automated intelligence accelerates both software discovery and potential exploitation.

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Oracle shifts agent controls toward data-layer security

SiliconANGLESeptember 23, 20264 min read

Data-layer security is becoming more important as automated systems gain broader access to sensitive information and business processes. Controls designed for predictable applications may not be enough when agents can interact directly with enterprise data. Artificial intelligence is also accelerating the discovery of software vulnerabilities, increasing pressure on companies to patch systems and update older […] The post Oracle shifts agent controls toward data-layer security appeared first on SiliconANGLE.

Data-layer security is becoming more important as automated systems gain broader access to sensitive information and business processes. Controls designed for predictable applications may not be enough when agents can interact directly with enterprise data. Artificial intelligence is also accelerating the discovery of software vulnerabilities, increasing pressure on companies to patch systems and update older products. Oracle Corp. is using multiple models to examine its own code while urging customers to keep database environments current, according to Juan Loaiza (pictured),…

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