Description
Microsoft Dragon Copilot is an AI-powered clinical assistant that captures and processes clinician interactions to generate structured clinical documentation and activity records. It leverages conversational, ambient, and generative AI to streamline clinical workflows, improve documentation efficiency, and surface actionable insights for healthcare professionals—including clinicians, nurses, and radiologists. Dragon Copilot activity logs represent administrative and user-level events (e.g., interactions, generated outputs, and system actions), making this connector the central ingestion point for admin, audit, and operational logs for the Dragon Copilot workload. Within the Microsoft Sentinel integration context, Dragon Copilot emits audit and activity signals representing user interactions and system-generated outputs. These signals enable security monitoring, compliance auditing, and operational visibility across healthcare workflows.
- Declared status
- 1
- Declared author / publisher
- Microsoft
Declared sources
Metadata from the source file. No dependencies inferred from KQL.
Data types
Declared permissions
read and write permissions.
Workspace
Workspace
Tenant Permissions
'Security Administrator' or 'Global Administrator' on the workspace's tenant.
Connector instructions
Content published in the repository. Refer to the original file for all parameters.
Connect Dragon Copilot audit logs to Microsoft Sentinel
This connector uses the Office Management API to get your Dragon Copilot audit logs. The logs will be stored and processed in your existing Microsoft Sentinel workspace. You can find the data in the **DragonCopilot** table.
Related content
Links established from declared identifiers and solution manifests.
Source provenance
GitHubDisplayed values come from files in Azure/Azure-Sentinel. They describe the published template, not your workspace configuration.
- Commit
629d1d3↗- Source identifier
DragonCopilotNative
GSTEP / CATALOG TRACKING
Added to catalog : 16 Sept 2026 · 05:49 UTC
Last change observed : 16 Sept 2026 · 05:49 UTC