Risk Status Tracking
What is risk status tracking?
Risk status tracking maintains a continuous, historized record of each AI system’s governance posture across three dimensions:
- Residual risk — the overall compliance posture derived from completed assessment scores
- Technology risk — risk derived from technology-specific controls (data handling, model characteristics, infrastructure)
- Alignment risk — how closely the system’s actual behavior aligns with its stated policy positions
Each dimension is scored as Low, Medium, High, or Unavailable (no data yet).
Risk history
Every time an assessment is updated or a control answer changes, a snapshot of the system’s risk status is recorded with a timestamp and a trigger label. This history is visible in the Risk Over Time chart on the AI system dashboard and can be included in reports.
Risk alerts
When the risk status on any dimension changes above a configured threshold, Asenion sends a risk alert. See Alerts & Notifications for configuration details.
Integrating data pipelines
For AI systems that run automated test controls (e.g. periodic model performance checks or bias audits), risk status can be updated programmatically by pushing test results to the platform:
- Python client library — importable into a Jupyter notebook or pipeline script
- REST API — integrates with CI/CD pipelines for continuous policy alignment tracking
- Standalone test agents — microservices that run assessment controls on a schedule
- Web UI — for ad-hoc manual result entry
How to set up continuous risk tracking
Contact your account manager or support@asenion.ai for pipeline integration assistance.