AI Governance - April 2, 2026 - 202604.1.0

General Availability

New Get List of Relationship Records by Entity API

Added the Get List of Relationship Records by Entity API to retrieve all related entities for an AI Governance inventory record and describe the relationship type for each related entity. This API is only supported for AI Systems, Datasets, and Models.

New Parameters for Attribute Management APIs

The following changes have been made to the Attribute Management APIs:

Existing Public Preview Features

AI Governance Inventory Global/Local Functionality

|Available with Solution Packaging Only

Establish standardized global records for AI systems, models, and datasets while maintaining contextual, local records across business units, use cases, and lifecycle stages. This capability lets teams track AI asset evolution through a clear audit trail, enforce standardized attributes at the global level, and manage jurisdiction-specific or use case-specific requirements at the local level.

For more information, see AI Governance Global/Local Feature Guide. This feature is related to the following ideas: AI-I-31, PDGI-I-1416

Amazon Bedrock AI Model & Agent Detection

|Available with Solution Packaging Only

Automatically scan cloud environments, APIs, pipelines, and applications to detect active AI models and agents in your Amazon Bedrock accounts. This feature captures metadata including model type, owners, input/output behavior, and associated datasets, providing a real-time, searchable inventory that serves as the foundation for governance policies, risk assessments, and audit trails.

For more information, see AI Automation Feature Guide.

Databricks Unity Catalog AI Models, Agents, and Datasets Detection

|Available with Solution Packaging Only

Automatically scan cloud environments, APIs, pipelines, and applications to detect active AI models, agents, and datasets in your Databricks accounts. This feature captures metadata including model type, owners, input/output behavior, and associated datasets, providing a real-time, searchable inventory that serves as the foundation for governance policies, risk assessments, and audit trails.

For more information, see AI Automation Feature Guide.

GCP Vertex AI Model and Agent Detection

|Available with Solution Packaging Only

Automatically scan cloud environments, APIs, pipelines, and applications to detect active AI models and agents in your Google Cloud accounts. This feature captures metadata including model type, owners, input/output behavior, and associated datasets, providing a real-time, searchable inventory that serves as the foundation for governance policies, risk assessments, and audit trails.

For more information, see AI Automation Feature Guide.

SageMaker AI Model Detection

|Available with Solution Packaging Only

Automatically scan cloud environments, APIs, pipelines, and applications to detect active AI models in your SageMaker accounts. This feature captures metadata including model type, owners, input/output behavior, and associated datasets, providing a real-time, searchable inventory that serves as the foundation for governance policies, risk assessments, and audit trails.

For more information, see AI Automation Feature Guide.

Azure Foundry Model and Agent Detection

|Available with Solution Packaging Only

Automatically scan cloud environments, APIs, pipelines, and applications to detect active AI models and agents in your Azure Foundry accounts. This feature captures metadata including model type, owners, input/output behavior, and associated datasets, providing a real-time, searchable inventory that serves as the foundation for governance policies, risk assessments, and audit trails.

For more information, see AI Automation Feature Guide.

Automated AI Discovery

Continuously scan, detect, and catalog AI models and agents across your AWS-native ecosystem. This seamless integration experience enables real-time visibility into your organization's AI landscape, mapping relationships between models, training data, and business processes to strengthen risk management and compliance. By eliminating manual tracking, teams can focus on innovation while maintaining comprehensive oversight of their AI systems through automated discovery and continuous monitoring.

For more information, see Automated AI Discovery: Amazon SageMaker Integration for AI Governance Models

Automated AI Discovery

Discover and catalog AI models, notebooks, and experiments across Google Cloud while maintaining centralized governance controls. This seamless integration experience enables real-time visibility into your organization's AI landscape, mapping relationships between models, training data, and business processes to strengthen risk management and compliance. By eliminating manual tracking, teams can focus on innovation while maintaining comprehensive oversight of their AI systems through automated discovery and continuous monitoring.

For more information, see Automated AI Discovery: Google Vertex Integration for AI Governance Models.

Metadata for Datasets

|Available with Solution Packaging Only

Improve data use governance functions by automating dataset evaluation and surfacing metadata that clarifies data quality, sensitivity, and readiness. This accelerates access request reviews, ensures responsible data usage, and helps teams build AI models on compliant, trustworthy datasets, which enhances both accuracy and oversight.

Export Inventory Records to Column Report

Create a report of all records of a specific inventory and the columns eligible for bulk import, or the current saved view of an inventory screen including applied filters. This provides you with two flexible reporting methods to gather comprehensive insights into inventory records.

For more information, see Exporting AI Inventory Records.

Permissions

Things to Know

OneTrust is planning to upgrade all environments to the new AI Governance Services, which provide improved permission granularity, expanded inventory support, foundations for agent governance, and a more unified management experience through the Inventory Manager. For more information and rollout schedules, seeAI Governance Services Upgrade Notice.

OneTrust is planning to unify the export output of AI Governance inventories to standardize values forSystem usersattributes. This change will replace the user's display name (e.g. John Smith) in favor of their email address (e.g. john.smith@onetrust.com) across all inventory types. Currently the platform has mixed behavior across the available inventory times, leading to import failures where the schema expects email address for these user fields.

Tenants will be automatically updated with this enhancement in the OneTrust 202604.2.0 release.

AI Auto-Responses for Assessments

Automatically fill out assessments based on past assessments or scanned documents with the AI auto-responses for assessments feature set, which includes AI Doc Scanner and AI Inventory Analysis.

This change was introduced in the Winter release and communicated for Assessment Automation in the release notes, but it also applies to AI Governance and has been retroactively added to the release notes. Restrictions apply for some AI Governance inventory.

For more information, see Leveraging AI Auto-Responses for Assessments.

About Known Defects

 

Issues that may impact our customers are documented in our Known Defects Database located here with approved workarounds and targeted releases for resolving the issue.