Application of Artificial Intelligence Technology in the Identification of Technological Security Risks

With the rapid development of artificial intelligence (AI) technology, the application of AI in technology security risk identification is constantly improving its effectiveness and scope of influence. This paper used the random forest algorithm of AI technology to optimize the identification of scientific and technological security risks. In the identification of technological security risks, AI technology has advantages such as high recognition accuracy, fast speed, and strong adaptability. Due to the powerful computing power of AI technology itself, it can be used to analyze and process massive amounts of data in technology security risk identification. The experiment showed that the average recognition accuracy based on random forest algorithm reached 85.5%, and the average efficiency reached 3.83 seconds, which was much higher than the data of traditional linear discrimination. After that, it can be concluded that the application of AI technology in the identification of technological security risks is quite effective.