Construction of Financial Information Risk Management Control Model Based on Convolutional Neural Network (CNN)

With the rapid development of information technology, the importance of financial informatization in enterprise management has become increasingly prominent. However, financial informatization also brings a series of risks, such as data leaks, cyber-attacks and system failures. This article analyzes the risk factors affecting financial informatization and builds a CNN-based financial information risk management control model based on Convolutional Neural Network (CNN). Finally, the article conducts experimental verification of the model. The results show that the model can increase the accuracy of financial risk prediction to a maximum of 95.9%, can effectively predict and control financial informatization risks, and improve the overall security of enterprise financial informatization. This has important theoretical and practical significance for the risk management of enterprises in the process of informatization development, and provides valuable reference for further improving and optimizing financial informatization risk management control.