As machine learning (ML) integrates across diverse industries, the demand for securing the intelligent edge becomes paramount. This rapidly evolving landscape presents distinct challenges, as confidential data is interpreted at the edge, increasing the risk of attacks. To mitigate these threats, a robust strategy for AI risk management is essential