PREDICTIVE AI FOR IDENTIFYING VULNERABILITIES BEFORE RANSOMWARE ATTACKS IN HOSPITALS

Abstract

This study examines how predictive AI can be used to detect cybersecurity vulnerability of a hospital IT system before the occurrence of a ransomware attack. The literature discusses the ways in which predictive AI can improve the cybersecurity of a hospital by detecting vulnerabilities in favorable early periods and mitigating the threats of ransomware attacks. It applies an explanatory research design and secondary data analysis to review how predictive AI can transform healthcare cyber security to become more proactive than reactive. The results indicate that predictive AI can promote a high threat detection understanding, reduce system outages, and improve defense against patient data. The study also emphasises AI integration, employee education, and a strong infrastructure that can create secure hospital systems.

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