The Internet is a "double-edged sword", and "development" and "security" are exactly one and two sides of it. With the deepening development of a new round of technological revolution and industrial transformation, the risks and challenges faced by the field of network security are becoming increasingly prominent. Especially in the face of the AI "wave", it is necessary to work together with the rule of law and technology to build a "safety barrier". The challenge of the AI "wave" brings new topics to network security. The AI "wave" provides us with many conveniences, allowing us to quickly share technological achievements while also bringing many network security risks. For example, with just a photo of the target person and artificial intelligence synthesis, standing in front of the camera, you can "become" him on the screen. You can also pass facial authentication on the online loan platform, blink an eye, shake your head, and transfer the money out. At the same time, for AI technology, if the data you feed it is incorrect, it will always follow this erroneous approach, sometimes conflicting with each other. Moreover, generative artificial intelligence and new security risks are emerging, such as negative public opinion, algorithmic bias, cognitive errors, psychological misleading, data leakage, etc. When it comes to the impact of AI on society, three words can be used: imperfect data sources, serious "nonsense", and AI rumors that are harder to detect. The network security challenges brought about by the "wave" of AI have posed new challenges for us, forcing our network security work to be more hardcore, advanced, and powerful. Putting the rule of law first and putting a tight collar on the AI "wave". Without rules, there is no square; Run wild horses and trample on crops. The train runs faster on the tracks; Only by following the flight path can an aircraft have safety assurance. In July of this year, China introduced the world's first specialized legislation on generative artificial intelligence - the "Interim Measures for the Management of Generative Artificial Intelligence Services", which set clear requirements for data compliance. We need to innovate data governance, vigorously improve the level of data security and personal information protection, increase the crackdown on illegal and irregular behaviors in the data field, and ensure personal information security; We need to strengthen regulatory guidance, strengthen forward-looking research on new technologies and applications, and draw a clear safety red line. The AI "wave" represents new things with vibrant vitality. We need to use the rule of law to guide, regulate, and protect them. Only in this way can the AI "wave" take advantage of the situation and become a historical trend, healthy and orderly, safe development, and more magnificent and vast. Network security technology keeps pace with the times, prevents potential risks of AI "wave", and innovates vigorously. There is no perfect new thing, and new things must grow healthily under continuous regulatory constraints. This requires strong rule of law and technological support. In recent years, the "AI face changing technique", which has received increasing public attention, also received attention for its "attack" and "prevention" at this year's Cybersecurity Expo. At present, Meiya Baike has independently developed a deep forgery detection and identification platform, which can intelligently detect and identify forged videos, helping regulatory authorities improve their content security governance capabilities. When discussing "security" during the current Cybersecurity Promotion Week, AI is the biggest focus. Wait, preventing AI security risks is becoming a top priority in current network security work, and it is the cutting-edge technology in current network security work. We should double our efforts