SAFEGUARDING THE INTELLIGENT EDGE: AI RISK MANAGEMENT TACTICS

As machine learning (ML) infuses across diverse domains, the necessity for securing the intelligent edge becomes paramount. This novel landscape presents unique 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. Integratin