With the deepening of business informatization, all kinds of business application data are rapidly gathering, which promotes enterprises to enter the era of big data. Enterprises begin to build the concept of big data, deepen the understanding of big data, extract potential data value, and improve the operation ability of enterprises and information systems. At the same time, big data brings internal control information to the system, which is becoming more and more challenging, so enterprises pay more and more attention to the security of the information system. This paper aims to introduce the enterprise financial risk identification and information security management and control under the big data environment and master the enterprise financial risk identification method so that the enterprise can adapt to the needs of the times competition faster and better. This paper introduces the method of identifying financial risk in the background of big data by classifying the methods of financial risk identification and designing the factor model. Through the experimental investigation of the company's financial asset rate, the enterprise financial risk situation is displayed, and the enterprise can improve the internal management to control the financial risk within a certain range. The experimental results show that from 2016 to 2020, the internal control and asset rate of the enterprise affect the financial risk of the enterprise, 82% of the operators only have a reasonable debt structure and sufficient solvency, the operator can operate in a safe state and then maintain a low financial risk, and the operator should also take measures to prevent the occurrence of risk in advance and realize the business goal of maximizing benefits.

中文翻译：

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大数据环境下企业财务风险识别与信息安全管控

随着业务信息化的深入，各类业务应用数据正在迅速聚集，推动企业进入大数据时代。企业开始构建大数据的概念，加深对大数据的理解，提取潜在的数据价值，提高企业和信息系统的运行能力。同时，大数据给系统带来的内控信息越来越具有挑战性，因此企业越来越重视信息系统的安全性。本文旨在介绍大数据环境下企业财务风险识别和信息安全管控，掌握企业财务风险识别方法，使企业更快更好地适应时代竞争的需要。本文通过对金融风险识别方法的分类和因子模型的设计，介绍了大数据背景下的金融风险识别方法。通过对公司金融资产率的实验调查，展示企业财务风险状况，企业可以通过改进内部管理将财务风险控制在一定范围内。实验结果表明，从 2016 年到 2020 年，