As machine learning (ML) infuses across diverse industries, the necessity for securing the intelligent edge becomes paramount. This rapidly evolving landscape presents unprecedented challenges, as critical data is interpreted at the edge, increasing the risk of attacks. To address these threats, a robust strategy for AI risk minimization is essenti