The governance layer every production AI deployment needs.
Policy framework
Acceptable use policies, AI risk tiering, model cards, and decision authority matrices tailored to your organization and sector.
Output validation
Schema enforcement, factuality scoring, toxicity detection, and hallucination guardrails applied to every model response.
PII redaction
Named entity recognition, data minimization at ingestion, real-time redaction in prompts and outputs, and retention controls.
Bias detection
Fairness metrics, demographic parity analysis, intersectional audits, and red-teaming against your specific use case and population.
Audit logging
Immutable decision trails — who queried, what was returned, what guardrails fired — stored for compliance review and incident response.
Regulatory alignment
NIST AI RMF implementation, EU AI Act readiness, FedRAMP AI considerations, and FISMA-aligned controls for federal deployments.