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Abstract: Three technical problems should be solved urgently in cyberspace security: the timeliness and accuracy of network attack detection, the credibility assessment and prediction of the security situation, and the effectiveness of security defense strategies optimization. artificial Intelligence (AI) algorithms have become the core means to increase the chances of security and to improve confrontation ability in the application of cyberspace security. Recently, the breakthrough and application of AI technology have provided a series of advanced approaches for further enhancing network defense ability. This work presents a comprehensive overview of AI technology articles for cyberspace security applications, mainly from 2017 to 2022, the papers are selected from a variety of journals and conferences, 52.68% are from Elsevier, Springer, and IEEE journals and 25% are from international conferences. With a specific focus on the latest approaches in machine Learning (ML), deep Learning (DL), and some popular optimization Algorithms, the characteristics of the algorithmic models, performance results, datasets, potential benefits, and limitations are analyzed, and some of the existing challenges are highlighted. This work is intended to provide technical guidance for researchers who would like to obtain the potential of AI technical methods for cyberspace security and to provide tips for the later resolution of specific cyberspace security issues, and a mastery of the current development trends of technology and application, hot issues in the field of network security. It also indicates certain existing challenges and gives directions for addressing them effectively.