The Advancement digital age enhances the threats of cybercrime. The study examines the possibility of AI automation to decrease response time to data breaches in the healthcare industry, where sensitive information is most vulnerable, and data breaches are expensive. With an explanatory design and mixed secondary data, the research evaluates real-life case studies and performance measures to determine the efficiency of AI in detecting breaches and containment. The outcomes lead to improved accuracy of detection, greater speed of response, and the resiliency of the systems, in case AI use is combined with cloud and encryption tools. This research highlights the promise of proactive, AI-based systems when it comes to enhancing cybersecurity in the healthcare industry and proposes viable implementations for future analysis.