As machine learning (ML) permeates across diverse industries, the demand for securing the intelligent edge becomes paramount. This emerging landscape presents unique challenges, as critical data is analyzed at the edge, amplifying the risk of compromises. To address these threats, a robust framework for AI risk reduction is essential. Implementin