As machine learning (ML) integrates across diverse domains, the necessity for securing the intelligent edge becomes paramount. This novel landscape presents unique challenges, as sensitive data is analyzed at the edge, increasing the risk of attacks. To mitigate these threats, a robust framework for AI risk reduction is essential. Implementing r