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

Authors

  • Muhamed Ramees Cheriya Mukkolakkal

DOI:

https://doi.org/10.38124/ijsrmt.v5i2.1246

Keywords:

Generational AI, Threat Modelling, AI Governance, Cyber Risk, Adaptive Security Systems, Banking Cybersecurity, Digital Banking

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.

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Published

2026-02-24

How to Cite

Mukkolakkal, M. R. C. (2026). Generative AI-Based Threat Model for Improving Cybersecurity in the Banking Sector. International Journal of Scientific Research and Modern Technology, 5(2), 34–44. https://doi.org/10.38124/ijsrmt.v5i2.1246

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