Integrations
Asenion connects to external systems through named connections configured in Settings → Connections. Connections are scoped to an organization and managed by Org Admins.
There are two categories of connection: cloud platform connections (for model discovery and test evidence) and MLflow connections (for linking experiment tracking to assessments). Notification channels (Slack, Microsoft Teams) are configured separately under notification settings.
Cloud Platform Connections
Connect Asenion to your cloud AI infrastructure to enable Model Discovery — automatic scanning and import of deployed AI models into your inventory.
| Platform | What connects |
|---|---|
| Azure | Azure Machine Learning workspaces |
| AWS | AWS SageMaker endpoints and models |
| GCP | Google Cloud Vertex AI model registry |
Each connection requires:
- A display name for the connection
- Account / subscription / project credentials (service principal, access key, or service account)
- Region or workspace name (platform-dependent)
Once connected, Asenion can scan the platform and surface deployed models for review and import. See Model Discovery.
MLflow Connections
MLflow connections link Asenion to an MLflow experiment tracking server so that test run results can be imported as assessment evidence.
Each MLflow connection requires:
- A display name
- The MLflow tracking server URL
- Optional username and password (for authenticated tracking servers)
Once connected, users can browse MLflow experiments and runs from within an assessment and link a specific run’s metrics directly to policy controls — auto-populating scored answers from test results. See Assurance for how MLflow evidence flows into assessments.
Notification Channels
Slack and Microsoft Teams connections enable risk alert and workflow notifications to be delivered to channels alongside in-app delivery.
| Channel | Configuration |
|---|---|
| Slack | OAuth app connection; select channels per AI system in notification settings |
| Microsoft Teams | Incoming webhook or app connection; configure per AI system |
Notification channel setup is done from Settings → Connections, and channel selection per AI system is done from AI System → Settings → Risk Alerts.
ServiceNow
Asenion can connect to a ServiceNow instance for ITSM integration — creating and tracking tickets from governance actions and risk alerts.
Configuration requires ServiceNow instance URL and service account credentials.
Who can manage connections?
Only Org Admins (with org:manage_settings capability) can create, edit, activate, or delete connections.
Any member with appropriate project access can use an active connection (e.g. link an MLflow run to an assessment they are working on).
Related
- Model Discovery — import AI models found via cloud connections
- Alerts & Notifications — Slack and Teams channel routing
- Admin — managing org-level settings