Studies on the Application and Practice of Artificial Intelligence Technology in E-Commerce Platform Risk Management

Haoli Tan

doi:10.54097/q4nbzr57

Authors

Haoli Tan

DOI:

https://doi.org/10.54097/q4nbzr57

Keywords:

Artificial intelligence, Risk control e-commerce, Fraud detection, Cybersecurity, Machine learning, Predictive analytics, Compliance monitoring, Financial security, Algorithm optimization, Transaction verification, Anomaly detection, Automation, Threat mitigation, Regulatory compliance, Fraud prevention, Risk assessment

Abstract

Cybersecurity and financial transaction fraud prevention are now at danger due to the quick growth of e-commerce platforms. Through the automation of detection, response, and mitigation procedures, artificial intelligence has become a potent instrument for improving risk control systems. Better compliance monitoring and real-time fraud detection predictive analytics are made possible using artificial intelligence into e-commerce risk control. With an emphasis on e-commerce platforms, this study investigates the use and use of artificial intelligence technologies in risk management. The study looks at the uses of artificial intelligence in anomaly detection, cybersecurity, credit risk analysis, and fraud detection. The difficulties in applying AI to risk management are also covered, along with the corresponding solutions. This study offers insights into how companies may improve risk control procedures and guarantee safe online transactions in the e-commerce industry by examining the benefits and drawbacks of artificial intelligence technology.

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