The healthcare system is a primary target for cyber attackers due to its critical role in society and the sensitivity of the data it handles, such as personal health information (PHI). In recent years, artificial intelligence (AI) has driven significant advancements in efficiency, accuracy, and accessibility across healthcare. This paper explores the transformative role of AI in enhancing healthcare cybersecurity by improving resilience, automating incident response, and driving innovation in safeguarding sensitive medical data and systems. AI-powered solutions, including predictive analytics and anomaly detection, are revolutionizing traditional security practices, enabling healthcare organizations to anticipate and mitigate threats more effectively. Additionally, the paper provides an overview of various standards, guidelines, and legal frameworks that offer a structured approach to protecting sensitive healthcare information, ensuring compliance, and mitigating risks. This work is part of the invited talk presented at the SUNRISE (Secure and Resilient Digital Transformation of Healthcare) workshop in Bergen, Norway.