Data Governance
Using NIST AI RMF To Make AI Risk Explainable
The NIST AI Risk Management Framework gives leaders a practical language for governing AI risk without relying on vague fear or hype.
AI risk needs a common language. Technical teams may speak about models, prompts, integrations, and data flows, while executives need to understand operational exposure, customer impact, legal risk, and oversight maturity.
The NIST AI RMF helps organizations frame AI risk around governance, mapping, measurement, and management. That structure is useful because it turns AI into a controlled business capability rather than an unmanaged productivity experiment.
SMARTS Aegis applies this logic through practical control design, AI policy implementation, monitoring, and executive reporting.
Reference source
https://www.nist.gov/itl/ai-risk-management-framework