TrustX Agent Risk Classification Framework (ARC) paper proposes 12-dimension rubric for agentic AI risk tiering
A new paper on arXiv introduces the TrustX Agent Risk Classification Framework (ARC), a structured instrument for risk-tiering internally created agentic AI systems. The framework uses a twelve-dimension scoring rubric to quantify risk across seven types of agentic systems, grounded in existing AI governance frameworks. It aims to address the gap where agentic AI proliferation has outpaced general-purpose risk frameworks.
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