Insurance fraud or credit card defaults have long been causing substantial losses for banking institutions. With the development of big data and AI, the technology for fraud detection and default prediction has been progressively researched by many. By analyzing consumer social network data and records, traditional machine learning or neural networks are accepted to predict and identify defaults and fraudulent activities.

Furthermore, fraudulent insurance claims are a significant concern that can be addressed by leveraging policy analysis records and the power of artificial intelligence. This approach enables the expedited review of claim payments, mitigating doubts or suspicions.