<p>With the rapid development of information technology, enterprise financial software is facing increasingly severe information security challenges in improving the efficiency of financial management. In view of this background, this study aims to explore the application of artificial intelligence financial robot based on computer heat consumption optimization in the information security evaluation of enterprise financial software. This paper reviews relevant researches, identifies the importance of network intrusion detection algorithm in information security testing, discusses data preprocessing and feature extraction, data dimensionality reduction and feature selection, intrusion detection methods and analysis of detection effects. By optimizing the heat consumption of computers, while improving the processing efficiency, it also effectively reduces the cost of hardware use and energy consumption of enterprises. This paper studies and designs an enterprise financial software information security risk assessment system, expounds the work flow of enterprise financial software in detail, and designs the corresponding assessment system based on this. The research shows that the information security assessment conducted by AI financial robots based on computer heat consumption optimization can not only improve the accuracy of the assessment, but also reduce the operating cost of enterprise financial software to a certain extent, providing a new idea and a new tool for enterprise information security management.</p>