As deep learning (DL) infuses across diverse domains, the requirement for securing the intelligent edge becomes paramount. This rapidly evolving landscape presents distinct challenges, as sensitive data is interpreted at the edge, heightening the risk of compromises. To mitigate these threats, a robust strategy for AI risk reduction is essential.