Framework Alignment
AI Governance
Our governance framework is mapped to NIST AI RMF 1.0 with DHS-aligned safeguards and OMB M-24-10 practices.
NIST AI RMF 1.0 Alignment
Govern
Defined ownership, change control, versioning
Map
Risk identification and categorization
Measure
Performance metrics and bias monitoring
Manage
Continuous improvement and incident response
Roles & Change Control
- Defined ownership for AI assistants and policies
- Peer review on policy/threshold changes
- Versioning of prompts, parameters, and datasets
- Change logs and approval workflows
Risk Review & Testing
- Reviewer workload, FP/FN, and override analysis
- Bias checks; evaluator thresholds
- Incident handling and rollback plans
- Regular performance audits
Monitoring & Evaluation
Real-time operational metrics and reviewer feedback loops ensure our systems perform as expected. Logs capture assistant version, signals, and adjudication outcomes for complete traceability.
Real-time Performance DashboardsFalse Positive/Negative TrackingReviewer Satisfaction MetricsAutomated Alerting