Framework map
NIST AI RMF, sector-specific US rules, ISO 42001, state privacy laws where applicable, and your internal risk tiering model.
United States · Trust by design
Governance that ships with the use case
Risk tiering, residency, and regulatory mapping are outputs of delivery, not a slide deck at the end of a pilot.
Three postures
Sovereign, Controlled, and Cloud, chosen from data class and sector rules, not org type.
Evidence pack
Use-case register, evaluation sets, change logs, and control map per framework clause.
Human-in-the-loop by tier
Low-risk internal drafting uses spot checks. Medium-risk customer replies get review or sampling. High-risk citizen or finance decisions stay with a named accountable person.
- Prohibited categories are not built
- High-tier incidents follow your process
- Quarterly regulatory refresh on retainer
Deployment postures
- Sovereign92%
Sensitive data · on-prem / sovereign cloud
- Controlled68%
Hybrid · strict controls
- Cloud45%
Lower tier · assessed SaaS
Procurement teams ask for this page
Pair governance review with a CUBE Diagnostic to show sponsors you mean measured AI transformation.