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September 10, 2025Open Access

Neuromorphic Computing for Real-Time Threat Detection in Banking Networks: A Novel Approach

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Authors

GSGiwa Olajumoke Sherifat

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Overview

Research demonstrates improved threat detection in banking networks using neuromorphic computing, indicating transformative potential.

Key Points

  • Neuromorphic computing can significantly enhance threat detection processes in banking networks, improving overall security.
  • This approach offers a sophisticated alternative to traditional methods, addressing limitations in detecting financial crimes and cyber-attacks.
  • Challenges in implementing neuromorphic computing include technical feasibility and integration with existing systems.
  • The findings suggest that further research in neuromorphic computing can lead to better financial security for institutions.

Cite This Study

Giwa Olajumoke Sherifat (2025) studied this question.

synapsesocial.com/papers/68c1d7e354b1d3bfb60f98d8https://doi.org/10.38124/ijsrmt.v4i8.714
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