Securing Digital Payments a Comprehensive Analysis of AI Driven Fraud Detection with Real Time Transaction Monitoring and Anomaly Detection

This investigation seeks to carry out an all-encompassing examination of AI-powered deception identification systems, concentrating on instantaneous transaction surveillance and irregularity detection, as crucial elements of safeguarding digital payments. The investigation embraces a comparative exploration blueprint, examining and amalgamating pertinent articles and research papers issued from 2010 to 2023. This investigation depends on auxiliary data sources, particularly articles and scholarly papers, to offer perspectives into the progressions, efficiency, and obstacles of AI-powered deception identification in the setting of digital payment safety. Through scrutinizing and contrasting the discoveries of current investigations, this examination endeavors to provide valuable perspectives for corporations, monetary establishments, and decision-makers striving to augment the safety of electronic transaction systems.