As machine learning (ML) integrates across diverse sectors, the demand for securing the intelligent edge becomes paramount. This emerging landscape presents distinct challenges, as confidential data is interpreted at the edge, increasing the risk of attacks. To counter these threats, a robust framework for AI risk minimization is essential. Imple