TrustX

TrustX Agent Risk Classification Framework (ARC) for enterprise agentic AI governance

Researchers introduce the TrustX Agent Risk Classification (ARC) Framework, a structured instrument for risk-tiering internally created agentic AI systems across seven system types. The framework centers on a twelve-dimension scoring rubric combined with a GPA+IAT classification model and a five-level autonomy scale, producing a three-tier governance output with control recommendations. A specialized extension for coding assistants is included, and the framework is publicly accessible as an interactive tool at arc.responsible.ai. The work targets AI governance practitioners, risk officers, and regulators dealing with enterprise and public-sector agentic deployments.