The U.S. healthcare supply chain is crucial for guaranteeing ongoing access to necessary medications, but because of digitisation, dispersed operations and reliance on international pharmaceutical production, it is becoming more vulnerable to cyberattacks. The supply of medications is threatened, data integrity is compromised and public health risks are increased by disruptions brought on by cyberattacks, operational inefficiencies and complicated regulations. This study looks into how cybersecurity policy and practice in the US healthcare supply chain can be improved using AI-driven compliance solutions. This study employs a literature review approach to investigate supply-chain challenges and evaluate the impact of cutting-edge technologies such as blockchain, artificial intelligence, machine learning, and predictive analytics for efficient cybersecurity compliance. The findings of the study show that AI-enabled tools greatly improve operational resilience and regulatory compliance by enhancing real-time monitoring, predictive forecasting, anomaly detection and safe data sharing. Also, decentralised decision-making, tamper-proof record-keeping and traceability are further supported by blockchain and edge computing. The study therefore concludes that incorporating AI-driven compliance solutions improves cybersecurity resilience, guarantees continuous access to necessary medications and lowers the risk of supply-chain disruptions.