<p>With the wide application of cloud computing technology, its network security issues have become increasingly prominent, and traditional security measures seem inadequate when facing complex attacks. The research aims to design graphic visual symbols that can effectively convey network security information by integrating data mining and artificial intelligence technologies, in order to enhance the level of cloud computing network security protection. The research focuses on in-depth mining of cloud computing network security data, extracting key features and information, and using artificial intelligence algorithms to generate intuitive and dynamic graphic visual symbols. By integrating graphic design sensors to perceive network environment information, real-time and accurate display of network security status can be achieved. The experimental results show that this method can effectively improve the transmission efficiency of network security information and enhance users’ perception and response capabilities to security threats. The designed graphic visual symbols not only have visual impact but also accurately reflect the status of network security, providing intuitive decision support for users and managers. Therefore, the design of graphic visual symbols based on data mining and artificial intelligence has significant application value in the field of cloud computing network security. With the continuous advancement of technology, graphic visual symbol design will be deeply integrated with other network security technologies, providing strong support for building a more secure and reliable cloud computing environment.</p>