Automated AI Assessment

Automated AI assessment tests AI models and systems for fairness, security and compliance against published frameworks, and repeats the test as the models change. DigitalXForce runs it in the AI TRiSCM and AI Risk Governance module, which discovers AI assets across cloud, code, pipelines, containers, model endpoints and RAG stores, assesses LLMs, copilots, agents and models, and maps them to NIST AI RMF, ISO/IEC 42001, the EU AI Act, the OWASP LLM Top 10 and MITRE ATLAS. 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. The controls around each AI system go through the same validation as every other control. When one of those controls fails, the platform opens a finding with an owner.