PROTECTING THE INTELLIGENT EDGE: AI RISK REDUCTION STRATEGIES

As deep learning (DL) infuses across diverse domains, the necessity for securing the intelligent edge becomes paramount. This rapidly evolving landscape presents unprecedented challenges, as critical data is processed at the edge, amplifying the risk of compromises. To address these threats, a robust strategy for AI risk minimization is essential.