Oracle introduced Deep Trust AI Architecture, a blueprint that embeds security, privacy, business rules, and trusted application generation throughout enterprise technology.
It integrates Oracle AI Database, Autonomous AI Database, and APEX AI Application Generator to help organisations scale AI innovation and reduce risk.
Juan Loaiza, executive vice president, AI Database Technologies, Oracle, said: “With Oracle Deep Trust AI Architecture, we are building trust into the underlying software platform, data, data access, and application development layers. This enables organisations to put AI to work while maintaining control over the information and actions that AI agents and AI-generated applications can take.”
Deep Trust AI Architecture
The architecture secures four layers: software platform, data, data access, and application development. The Autonomous AI Database automates security patching, enables rolling updates without application disruption, and encrypts data at rest and in transit.
Oracle Deep Data Security enforces user access policies directly in the database. At the same time, SQL Assertions prevent invalid transactions and business-rule violations regardless of which application or AI agent initiates them.
Deep Trust Data APIs limit AI agents and applications to authorised business objects rather than unrestricted SQL access.
Deep NL2SQL enhances natural-language queries by using organisational terminology, data definitions, and business context. Feedback and verification mechanisms validate corrections and improve accuracy.
APEX AI Application Generator converts natural-language descriptions into declarative application definitions that Oracle’s centralised runtime executes, reducing reliance on AI-generated executable code.
“What sets the Deep Trust AI Architecture apart is its unified approach to embedding trust into how AI accesses, understands, and acts on enterprise data. Oracle is raising the industry bar by unifying intelligence, security, and governance at the foundation of the agentic enterprise, empowering organisations to innovate faster, scale AI with confidence, and deliver more trusted business outcomes,” said Steven Dickens, CEO, HyperFRAME Research.
