AI Governance - November 14, 2025 - 202511.1.0

Drill into specific purposes across the platform and inspect their usage details. This Global Data Manager resource provides privacy managers a central location for monitoring where a given purpose is used to better manage those records.

For more information, see Unified Purpose Feature Guide.

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

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.

|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.

Enable systemic risk visibility across linked inventory objects in AI Governance. When enabled, parent objects (such as AI Systems or Projects) inherit risks from related child entities (such as Models or Datasets), allowing organizations to automate comprehensive risk views.

For more information, see Risk Aggregation for Related AI Records.

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.

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.