Within the rapidly changing environment of health care, integration of AI into cybersecurity frameworks has been an important solution to protect sensitive data and maintain the integrity of health care systems. The following chapter provides an overview of the status of present solutions for AI-based cybersecurity in health sectors with the potential to enhance protection, threat detection, and smoothness of operation. Such solutions can, therefore, identify anomalous behaviour and correctly predict potential breaches by leveraging the power of machine learning algorithms, natural language processing, and other AI technologies to respond to cyber threats accurately and with previously unattainable speed. This chapter further charts a detailed comparison of features and benefits for various AI-based cybersecurity solutions vis-à-vis their applicability and effectiveness in different healthcare settings. We hereby present case studies of healthcare organizations that scaled up to successfully implement AI-driven cybersecurity strategies, testifying to improved cyber threat resilience and improved patient data privacy. This chapter elaborates on the transformative potential of AI in strengthening healthcare cybersecurity and explains future trends and innovations in this domain.