Research on artificial intelligence-driven internet payment risk control system
Jiaxin Zheng
Beihang University (BUAA) Al Quds Dist
DOI: https://doi.org/10.59429/esta.v11i4.8482
Keywords: Internet payment; Risk control; Artificial intelligence
Abstract
With the popularization of digital payment, the importance of Internet payment risk management has become more and more significant. This paper begins with the principles and challenges of traditional Internet payment risk control systems and analyzes the limitations of existing systems in dealing with new payment frauds. Traditional methods rely on rules and pattern recognition, while emerging fraud technologies and complex financial environments have made these methods much less effective. The article further explores the application of AI technologies in risk control systems, especially how machine learning and deep learning can effectively improve the accuracy and efficiency of risk control. Through case studies, it demonstrates the process of AI wind control system in actual deployment and its significant advantages in detecting fraud and reducing the misjudgment rate. Finally, the article discusses the future development direction and potential application areas of AI risk control systems, pointing out their significant value in improving risk management capabilities and shortening response time.
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