Risk Assessment
Automated and explainable risk scoring across models, datasets, prompts, and releases. Prioritize work by potential business impact and regulatory exposure.
Risk model
Scores combine likelihood and impact across safety, privacy, fairness, security, and resiliency. Calibrate weights to your risk appetite and regulatory context.
Signals we use
- Evaluation results, red-team findings, and production incidents.
- Data lineage, PII exposure, and dataset representativeness.
- Model usage, prompt patterns, and guardrail effectiveness.
- Control coverage vs. policy requirements and exceptions.
Decisions and workflows
Route high-risk changes for approval, block deployments over thresholds, and create tasks for remediation with due dates and owners.