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Oracle and OpenAI unveil joint AI suite for enterprise operations

Oracle has announced a major new collaboration with OpenAI that places the company’s models, ChatGPT and Codex directly inside Oracle applications, enterprise data and cloud infrastructure.

· Originally published by ontime+ · Last verified: 28 Oct 2026 (Tamara khadrah)

Key Points

  1. Oracle announced an expanded OpenAI collaboration embedding frontier models across its applications, data and cloud infrastructure.
  2. The suite spans an AI workspace in ChatGPT, a managed security service and a no-code app builder.
  3. Oracle is positioning its core enterprise stack as agent-ready, with governance controls built around automated workflows.

The latest:

Oracle has announced a major new collaboration with OpenAI that places the company’s models, ChatGPT and Codex directly inside Oracle applications, enterprise data and cloud infrastructure. Unveiled at Oracle AI World in Las Vegas on October 27, 2026, the suite covers enterprise operations, application development, cybersecurity and business creation. Oracle CEO Clay Magouyrk said OpenAI is transforming how enterprises solve business problems, from chat to coding to autonomous agents.

Details:

  • The workspace: Oracle AI Workspace is presented as a single experience uniting OpenAI frontier models with Oracle applications, enterprise data and cloud services. Through plugins in ChatGPT, employees can access information, complete approved business workflows and take action alongside Oracle systems, according to the announcement.
  • What it connects: Oracle said the workspace links Oracle Fusion Applications, Oracle NetSuite, Oracle AI Database, Oracle Cloud Infrastructure and other enterprise tools and data sources. Users describe a business goal and the plugins assemble the relevant Oracle tools and information to accomplish it.
  • The agent framing: Both companies said they share an ambition to set the standard for the agent-ready enterprise, partnering across the innovation cycle to transform Oracle applications for agents and bring them into a unified ChatGPT experience. Oracle said governance, approvals and controls required for enterprise operations are maintained.
  • The security service: Oracle AI Security Mesh is a managed service using OpenAI cyber models to help customers find and fix vulnerabilities in applications and infrastructure before attackers exploit them. Oracle said it works across OCI, other clouds and on-premises environments.
  • How it is run: The service combines OpenAI frontier cyber models with Oracle testing tools, independent validation, testing infrastructure and operational safeguards managed by Oracle. The stated aim is to spare customers from building and operating their own agentic defensive and offensive systems.
  • Who controls scope: Customers define where testing is authorized and control its scope, while Oracle manages the safeguards intended to reduce the risk of outages or business disruption during testing, according to the company.
  • The app builder: Oracle App Composer lets employees turn ideas into enterprise applications without coding expertise. Users build with Codex while Oracle manages deployment and operations on OCI, connecting applications to approved Oracle data and workflows.
  • The controls: App Composer provides access to OCI services including OCI Kubernetes Engine and Oracle Autonomous AI Database, and applies enterprise identity, permissions, networking, audit and application life cycle controls to AI-generated applications.
  • OpenAI’s position: Greg Brockman, president and co-founder of OpenAI, said more businesses are choosing the company as it makes AI easier to use through tools they already have, and that the expanded Oracle partnership should help teams build software faster, strengthen security and handle more complex knowledge work.
  • Not specified: Oracle did not announce pricing, general availability dates or financial terms for the collaboration, and did not name customers deploying the new products.

Between the lines:

The three products attack the same bottleneck from different directions: getting AI past pilot projects and into systems that run payroll, finance and infrastructure. Oracle’s repeated emphasis on approvals, audit trails, scope controls and safeguards against disruption signals what it sees as the obstacle — not model capability, but enterprise trust in letting agents act on production systems.

What’s next

Watch for availability timelines and pricing for AI Workspace, Security Mesh and App Composer, plus named early customers. Competing announcements from rival cloud providers pairing with frontier model developers would show how fast this pattern spreads.

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