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Generative AI-Based Threat Model for Improving Cybersecurity in the Banking Sector

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  • Muhamed Ramees Cheriya Mukkolakkal

Abstract

In this systematic review paper, it discusses how generational artificial intelligence affects the banking sector and cybersecurity, identifies gaps in the current security systems, and highlights the importance of dynamic, AI-based threat mitigation structures. The findings recommend the development of predictive, smart, and resistant cybersecurity systems that can meet modern digital banking contexts.

Suggested Citation

  • Muhamed Ramees Cheriya Mukkolakkal, 2026. "Generative AI-Based Threat Model for Improving Cybersecurity in the Banking Sector," International Journal of Scientific Research and Modern Technology, Prasu Publications, vol. 5(2), pages 34-44.
    • Handle: RePEc:daw:ijsrmt:v:5:y:2026:i:2:p:34-44:id:1246
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    References listed on IDEAS

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    1. Elzbieta M. Kacperska & Joanna Stefanczyk & Pawel J. Dabrowski & Wieslawa Zaloga, 2024. "The Consequences of Implementing Artificial Intelligence Technology in the Digital Economy from the Perspective of Generation Z," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 1039-1057.
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