TrustX Agent Risk Classification Framework (ARC): Risk-Tiering Internally Created Agentic AI Systems

The proliferation of agentic AI systems across enterprise and public-sector contexts has outpaced the capacity of general-purpose AI risk frameworks to classify and govern them. In this paper, we introduce the TrustX Agent Risk Classification Framework, a structured, repeatable instrument that can be applied to seven types of agentic AI systems and is grounded in foundational pre-existing AI governance frameworks. At the core of the framework is a twelve-dimension scoring rubric that robustly qu

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ethics.ai (10 July 2026), “TrustX Agent Risk Classification Framework (ARC): Risk-Tiering Internally Created Agentic AI Systems,” evidence record 59, https://ethics.ai/record/59 (originally published by arXiv).

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