AI Governance
Governance mapped to NIST AI RMF 1.0 (Govern, Map, Measure, Manage) with DHS-aligned safeguards and OMB M-24-10 practices.
Framework Alignment
NIST AI RMF 1.0
- • Govern: Defined ownership, change control, versioning
- • Map: Risk identification and categorization
- • Measure: Performance metrics and bias monitoring
- • Manage: Continuous improvement and incident response
DHS Trustworthy AI Principles
- • Safe, secure, and trustworthy systems
- • Human-centered design and oversight
- • Transparent and explainable decisions
- • Fair and non-discriminatory outcomes
Governance Practices
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
Monitoring includes operational metrics and reviewer feedback. Logs capture assistant version, signals, and adjudication outcome.
- • Real-time performance dashboards
- • False positive/negative tracking
- • Reviewer satisfaction metrics
- • Automated alerting for threshold breaches