What's New for Oracle AI Data Platform Workbench

Here’s an overview of new features and enhancements in Oracle AI Data Platform Workbench.

Topics

For the latest Oracle AI Data Platform Workbench news, product updates, customer and partner stories, and market insights, see https://blogs.oracle.com/ai-data-platform/.

May 1, 2026

Feature Description
Choose customer-managed key encryption When creating your AI Data Platform Workbench instance you can now choose to use Oracle-managed key encryption or use your organization's managed key encryption. See Storage Encryption Options.
Enable network source-based access control Create sets of defined IP addresses that you can reference in policies or authentication settings to control access. See Network Sources.
Preview: Manage credentials in with secrets and vault references The Credential Store provides a secure and centralized way to manage sensitive information such as authentication tokens and external credentials. Instead of embedding secrets directly in configurations or code, users can store and reuse them safely through their AI Data Platform Workbench. See About Credential Store.
Preview: Connect and manage your data in Git You can now manage your Git files entirely from within AI Data Platform Workbench, with utilities that allow you to push, pull, commit, and merge files as well as manage any merge conflicts that arise without having to leave the platform. See Git Integration (Preview).
Preview: Run and iterate experiments to build models based on your data Experiments in Oracle AI Data Platform Workbench provide means for data scientists, machine-learning engineers, and managers to collaborate in the development of models. See Experiments (Preview).
Preview: Create and train machine-learning models Machine-learning models in AI Data Platform Workbench enable you to build optimized models through performance analysis, collaboration, and analysis of experimental conditions like hyper-parameters, input datasets, and feature engineering. See Models (Preview).
Preview: Administration Settings Administration settings let you control the features enabled in your instance, manage Git credentials and settings, and monitor your resource limits to know when you might need to reduce the resources in use or request an increase. See Administration Settings (Preview).