As machine learning (ML) infuses across diverse domains, the requirement for securing the intelligent edge becomes paramount. This rapidly evolving landscape presents distinct challenges, as confidential data is interpreted at the edge, amplifying the risk of compromises. To address these threats, a robust strategy for AI risk minimization is essen