Khan, Murad and Bacha, Ahmad (2025) AI-Driven Cybersecurity in Healthcare: The Transformative Potential of Generative AI. Global Journal of Emerging AI and Computing, 1 (3). pp. 61-83.
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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.
| Item Type: | Article |
|---|---|
| Depositing User: | Unnamed user with email samad2nice@gmail.com |
| Date Deposited: | 09 Oct 2026 15:30 |
| Last Modified: | 09 Oct 2026 15:38 |
| URI: | https://repository.globalsciencepress.com/id/eprint/543 |
