Application of Artificial Intelligence Technology in Internet Finance and Analysis of Security Risks

The main applications of AI technology in Internet finance include decision-making early warning, intelligent risk control, intelligent customer service, etc. Based on the above applications, this paper analyzes the security risks faced by Internet finance, including the intelligent evolution of hacker attacks, and self-learning that makes illegal intrusion difficult to detect, and then uses the deep learning algorithm to analyze the current defects, and the application effect of intelligent investment consulting is poor; Illegal acquisition or use of personal information makes it difficult to protect user privacy; There are security risks in intelligent risk control, and it is impossible to prevent risk control loopholes by antagonizing samples. On this basis, this paper uses deep learning to propose corresponding security management strategies from the four perspectives of algorithm, supervision, ethics and cooperation. The simulation results show that the algorithm proposed in this paper can effectively monitor its vulnerabilities.