Release 9.2.17.2¶

This release centers on Trust3 AI Governance: visibility and control over AI agent data access across your estate—discovery, identity mapping, unified inventory, policy-oriented workflows, and natural-language GIA exploration over the same data the dashboard uses.

AI Governance¶

Multi-platform agent discovery

Multi-platform agent discovery¶

Inventory AI-related assets from connected platforms (including Databricks serving endpoints and Genie spaces, Microsoft Copilot Studio, and Azure Foundry, and related Power Platform signals, depending on configuration) with a path for custom registrations where automation is not yet available.

Identity discovery and mapping

Identity discovery and mapping¶

Associate agents with owners and invokers from platform metadata; support ephemeral identities with parent linkage for a clear chain of custody in reviews and exports.

Unified dashboard

Unified dashboard¶

Single operational view of agent inventory across platforms, with identity columns and policy posture so IT, platform engineering, and data governance align on the same inventory.

GIA (governance Q&A)

GIA (governance Q&A)¶

Ask plain-language questions over inventory and identities (for example, agents without owners, or agents and their identities) without switching between vendor admin consoles.

AI Assets Collector (Run Collector)

AI Assets Collector (Run Collector)¶

Docker-based collector to ingest inventory into AI Governance using docker-compose.yml, .env configuration, and AI_GOVERNANCE_API_KEY where your deployment requires it; documented flows for Databricks, Microsoft Copilot Studio, and Azure Foundry prerequisites and credentials.

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