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

Abstract

This research work looks into the application of Neuromorphic computing for real-time threat detection in banking networks. The emergence of Neuromorphic computing which is inspired by the human brain’s neural structure and function offers a more sophisticated and promising solution to the challenges of detecting threat, financial crimes and cyber-attacks. The research also identified limitations of the traditional threat detection approaches in the banking networks and then highlighted the benefits with the introduction of Neuromorphic computing in threat detection and prevention. The Author further explored the key challenges faced in implementing Neuromorphic computing and then recommended potential future directions for research and development in the field. The research finally concluded that Neuromorphic computing has the potential to transform threat detection processes in the banking network and improve financial security generally in financial institutions.