PREDICTIVE AL 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.

,