Oracle Deep Trust AI Architecture

Trust can't be an afterthought in the age of AI.

AI can build solutions in minutes. But can you trust them? Oracle Deep Trust AI Architecture embeds trust deep within the underlying infrastructure across four critical layers of the stack: software platform, data, data access, and application development. By enforcing security, privacy, and business rules where AI cannot bypass them, Oracle enables faster productivity and innovation with less risk.

Watch Juan Loaiza talk about building trusted AI

At AI World 2026, Juan unveiled Oracle Deep Trust AI Architecture, a blueprint that enables organizations to adopt AI they can trust.

See Oracle Deep Trust AI Architecture in action

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Enforce data privacy at the source

See how Oracle Deep Data Security prevents AI apps and agents from exposing sensitive information—even when tricked.

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Get trusted answers to natural language questions

Oracle Deep NL2SQL uses human feedback and knowledge change verification to continuously improve the accuracy of AI-generated SQL queries and the answers they produce. Watch now.

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Generate enterprise-ready apps

Compare APEXlang to traditional AI code generation. See how APEXlang simplifies AI app generation for enterprises, with built-in security, scalability, and maintainability provided by the Oracle APEX runtime.

Learn how to enforce AI trust

  • Autonomous AI Database
    Stay ahead of AI-driven cyberattacks with automated online security patching, built-in encryption, and a secure, scalable AI database.
  • Deep Data Security
    Enforce data privacy at the source, preventing AI-generated apps and agents from accessing sensitive data users aren't authorized to see.
  • Trusted Data APIs
    Limit AI app and agent access to only the data and operations they need for the task, with update rules, integrity, and evolvability enforced by the database.
  • Deep NL2SQL
    Improve the accuracy of AI-generated answers with continuous feedback learning and knowledge change verification.
  • Oracle AI APEX Application Generator
    Generate enterprise-ready apps using natural language and APEXlang, with security, scalability, and availability provided by the trusted APEX runtime.
  • Free security and patching tools
    Strengthen your defenses against cyberthreats with free tools to patch, test, and secure your databases.
  • Oracle SQL Assertions
    Define business rules once and enforce them across every application and AI agent.
  • Analytic Views
    Use Oracle Analytic Views to help AI understand what your data means and how to use it, providing context that AI cannot get from database schemas alone.

Learn more about Oracle Deep Trust AI Architecture

Deep Data Security for data privacy in the AI Era

How do you bolster data privacy as AI evolves? Privacy rules are complex and often role-specific. Watch Oracle executives explain the importance of database-level controls for identity enforcement.

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AI Cyber Attacks Are Escalating: How To Secure Your Data Now

Hear Oracle EVP Juan Loaiza explain why traditional security approaches are no longer enough. Learn how enforcing security at the data layer helps protect against AI-driven threats.

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Building secure AI agents

As AI agents gain access to enterprise data and systems, security becomes critical. Learn why enforcing data access and privacy policies at the source is essential to building AI agents you can trust.

October 26, 2026

Announcing: Oracle Deep Trust AI Architecture

Juan Loaiza, Executive Vice President, Oracle Database Technologies and Maria Colgan, VP, Oracle Database Technologies

AI is answering questions, making decisions, and taking actions on behalf of businesses. But what happens when AI gets it wrong? When it exposes sensitive data, breaks business rules, or makes costly mistakes? The consequences can be devastating. Discover how Oracle Deep Trust AI Architecture builds trust beyond models and guardrails, helping enterprises innovate faster without increasing risk.