NIST AI Risk Management Framework Alignment
AI RMF 1.0: four functions, 19 categories, 72 subcategories. GenAI Profile (NIST AI 600-1): 200+ actions for foundation models and agents. Colorado’s AI Act references NIST-style reasonable care. TuringPulse turns that catalog into live controls.
GOVERN
Organizational AI governance through policy packs, RBAC, audit visibility, and documented approval paths for high-impact changes.
MEASURE
Continuous risk measurement via evaluations, KPI dashboards, drift detection, and anomaly monitoring per workflow and agent.
MANAGE
Risk response through alerts, runtime guardrails, escalation policies, and HITL checkpoints when scores or policies fail.
From Policy to Documented Context
GOVERN and MAP require clear accountability, use-case characterization, and traceable context. Governance Insights summarizes policy coverage, violations, and workflow posture so risk owners can evidence management review.
- Centralized view of policies, violations, and governance trends
- Workflow-scoped configuration reflecting MAP-style context capture
- RBAC and tenant isolation aligned to least-privilege expectations
- Evidence trails linking decisions to policies and reviewers
Evaluations, Drift, and KPIs
MEASURE is where frameworks become telemetry. TuringPulse runs evaluations at scale, tracks KPIs over time, and flags drift and anomalies so risks are detected quantitatively — not only at deployment.
- LLM-judge, heuristic, and custom evaluations on live traffic
- Baseline comparison and statistical drift for quality and safety metrics
- Health Overview for cross-workflow posture and trend visibility
- Exportable metrics history for risk registers and management reporting
Guardrails, Alerts, and HITL
MANAGE closes the loop: when measurement shows unacceptable risk, controls must respond. Alerts notify owners; guardrails block or reshape outputs; HITL queues capture human decisions with full trace context.
- Multi-channel alerting with severity and escalation policies
- Runtime guardrails for toxicity, PII, and custom policy violations
- Human review workflows with immutable records of approval or rejection
- Correlation from alert → trace → span for root cause and remediation
