AI-Powered Threat Detection In Real-Time Payment Systems

Abstract

The given paper researches the use of machine learning (ML) and artificial intelligence (AI) methods in threat detection in the context of real-time payment systems. Digital transactions are skyrocketing, and so has fraud, anomalies, and insider threats become advanced and harmful. Findings of numerous studies indicate a great advancement in detection accuracy, response time, and false positives reduction. The article identifies the financial benefits, practical issues, and potential of adopting adapting AI systems in financial cyber defence systems in the future.