Cyber threats and attacks disrupt and damages supply chain networks (SCN), which are complex and interlinked. Current methods to predict and prevent cyberattacks are inadequate and ineffective. This research proposes an AI developmental system framework (FAIDS) to protect SCNs from cyberattacks. The framework has four components: (1) an AI threat intelligence system; (2) an AI risk assessment system; (3) an AI decision support system; and (4) an AI learning and adaptation system. The framework is tested on a simulated retail SCN. The results show that the framework can predict and prevent cyberattacks and improve the network’s resilience and security. The research provides a novel and comprehensive AI framework for cyber security (CS) and supply chain management. The research also discusses the framework’s limitations and challenges and suggests future research.