PROTECTING THE INTELLIGENT EDGE: AI RISK REDUCTION STRATEGIES

As deep learning (DL) permeates across diverse sectors, the necessity for securing the intelligent edge becomes paramount. This novel landscape presents unique challenges, as critical data is analyzed at the edge, amplifying the risk of compromises. To counter these threats, a robust framework for AI risk minimization is essential. Implementing