AI Governance & Compliance

AI governance and compliance means knowing which AI systems an organization runs, who owns them, which policies and regulations apply, and whether the controls around them work. DigitalXForce covers it in the AI TRiSCM and AI Risk Governance module, which maps AI systems to NIST AI RMF, ISO/IEC 42001 and the EU AI Act and adds production approval, policy gates, exception management and remediation tracking, with continuous control monitoring checking the controls between audits. It runs on the TRiSCM platform, and the terms used here are defined in the DigitalXForce glossary.

Continuous Control Assurance (CCA) uses evidence, monitoring and validation to determine whether controls continue to operate as expected. Continuous Control Monitoring (CCM) monitors conditions, evidence and signals associated with controls. CCM is a capability within CCA. A failed control around an AI system stays open as a finding until a retest passes.