This chapter explores the capabilities of Artificial Intelligence (AI) within cybersecurity in healthcare. In particular, the integration of Artificial Intelligence AI into traditional security monitoring framework is discussed, introducing AI-based Security Monitoring approaches, combining rule-based SIEM with Machine Learning (ML) techniques, such as Association Rule Mining (ARM) for improved detection and Explainable AI (xAI) for transparency. Adaptive Security Monitoring, addressing dynamic cyber threats, is discussed through Concept Drift Detectors. Finally, the application of AI-based Security Monitoring in healthcare is highlighted. Various use cases are presented, such as the protection of patient data, medical devices, and network. The integration of AI in access control and threat intelligence is examined to ensure confidentiality, prevent unauthorized access, and maintain healthcare system integrity.