AI-Driven Cybersecurity in Healthcare: The Transformative Potential of Generative AI

Authors

  • Murad Khan American National University, Salem, Virginia Author
  • Ahmad Bacha Washington University of Science and Technology, Virginia, United States of America Author

Keywords:

AI, Generative AI, Cybersecurity, Healthcare, Data Privacy, Threat Detection, Anomaly Detection, Predictive Modeling, Digital Health

Abstract

The healthcare industry is experiencing increasing cybersecurity threats because of the increasing digitization of medical records, Telemedicine and connected devices. Conventional security tools are not usually effective at dealing with such advanced cybercrime as ransom ware, phishing, or advanced persistent attacks. Generative AI has the potential to be transformed through artificial intelligence (AI), in which it can be used to predict potential threats and identify anomalies and offer automated responses. This review examines the usage, advantages, and issues of generative AI in healthcare cybersecurity, its use in protecting sensitive patient information, improving operational efficiency, and promoting proactive protection. Ethical aspects, integration issues and future are also done.

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Published

2025-11-03

Issue

Section

Articles