Real-Time Fraud Detection in Banking Using AI and Machine Learning in Risk-Based Authentication Systems
Keywords:
fraud detection, artificial intelligenceAbstract
The expansion of digital banking services has compelled banks to advance for detection mechanism to safeguard financial transaction and mitigate risks. This research paper investigates the integration of artificial intelligence and machine learning in risk-based authentication system for real time for detection in banking. This study focuses on architecture of AI driven fraud detection framework, anomaly detection, behavioural biometrics and predictive analytics in identifying fraudulent activities.
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