As deep learning (DL) infuses across diverse industries, the demand for securing the intelligent edge becomes paramount. This emerging landscape presents distinct challenges, as confidential data is analyzed at the edge, increasing the risk of compromises. To counter these threats, a robust strategy for AI risk reduction is essential. Integrating