The incorporation of artificial intelligence (AI) and analytics in healthcare security is reforming the way healthcare organizations protect sensitive medical data. This paper explores the several uses of artificial intelligence and analytics in the field of healthcare security, as well as the revolutionary possibilities of machine learning and predictive analytics. By using these innovative tools, such as AI, medical practitioners may rapidly lower risk, proactively find weaknesses, and reinforce their cybersecurity system. One important topic addressed in this chapter is the application of machine learning to anomaly detection and security breach prediction. This will allow your system to be more resistant to possible attacks. The paper also provides several case studies of well-known healthcare firms that have effectively enhanced their safety through the use of artificial intelligence-powered analytics. Through a review of these instructive case studies, one may gain a deeper understanding of the development of cybersecurity in the medical industry. Moreover, one might gain additional knowledge on the advantages and disadvantages of using artificial intelligence for hospital security. The thorough case studies underline the critical role artificial intelligence and analytics play in safeguarding patient data and preserving the integrity of healthcare systems in a society where computers and digital systems are becoming more common.