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The test results of artificial intelligence technology empowering network security applications in 2026 have been released
Source: | Author:佚名 | Published time: 2026-09-18 | 57 Views | 🔊 Click to read aloud ❚❚ ▶ | Share:
On September 14, 2026, at the opening ceremony of the National Cybersecurity Awareness Week held in Jinan, Shandong Province, the results of the 2026 artificial intelligence technology empowerment network security application test were officially released.
　　On September 14, 2026, at the opening ceremony of the National Cybersecurity Awareness Week held in Jinan, Shandong Province, the results of the 2026 artificial intelligence technology empowerment network security application test were officially released.
　　According to the comrade in charge of the National Internet Emergency Response Center, this testing activity aims to promote the enabling application of artificial intelligence technology in the field of network security, excavate high application value network security business scenarios, select excellent artificial intelligence technology products, improve the level of network security protection in important industries, and promote the technological capability of the network security industry. The testing activity has set up 8 testing scenarios and is open to the public for registration. A total of 251 teams from 151 units have registered to participate, including enterprises in the fields of network security, information and communication, artificial intelligence, finance, broadcasting and television, as well as universities and research institutes. The testing is provided by Huawei with the basic software and hardware environment for Ascend artificial intelligence.
　　In 2026, 32 teams achieved good results in the testing of network security applications empowered by artificial intelligence technology. The specific results are as follows:

In scenario 1 (AI driven attack network security intelligent defense), teams from Shenxin Technology Co., Ltd., Beijing Qiming Xingchen Information Security Technology Co., Ltd., Tianyi Security Technology Co., Ltd., Beijing Tianrongxin Network Security Technology Co., Ltd., and Yuanjiang Shengbang Security Technology Group Co., Ltd. achieved good results.

In Scenario 2 (Intelligent Mining of Network System and Source Code Vulnerabilities), teams from Qianxin Wangshen Information Technology (Beijing) Co., Ltd. and Hangzhou Anheng Information Technology Co., Ltd. achieved good results.

In Scenario 3 (Network Traffic Security Threat Detection), teams from Shenzhen Zhongke Qiqi Technology Co., Ltd., China Postal Savings Bank Co., Ltd., Beijing Shenzhou Green League Technology Co., Ltd., Beijing Tianrongxin Network Security Technology Co., Ltd., and Inner Mongolia University of Technology achieved good results.

In scenario 4 (network security alarm log denoising), teams from Qianxin Wangshen Information Technology (Beijing) Co., Ltd. and Tianyi Security Technology Co., Ltd. achieved good results.

In Scenario 5 (Large Model Security Barrier Capability Testing), teams from 360 Digital Security Technology Group Co., Ltd., Beijing Deep Defense Laboratory Technology Co., Ltd., Shenxin Technology Co., Ltd., China Mobile Communications Group Jiangsu Co., Ltd., and Di Ling Zhiyuan Technology (Shenzhen) Co., Ltd. achieved good results.

In scenario 6 (AIGC generated image detection), teams from Beijing Zhongke Ruijian Intelligent Technology Co., Ltd., People's Public Security University of China, People's Daily Online Co., Ltd., Shanghai Second University of Technology, Jiangsu Rural Commercial United Bank Co., Ltd., and Zhicheng College of Fuzhou University achieved good results.

In scenario 7 (AI intelligent agent malicious operation behavior detection), teams from Beijing Changting Technology Co., Ltd., Beijing Jizhi Technology Co., Ltd., Shenxin Technology Co., Ltd., and Renmin Zhongke (Beijing) Intelligent Technology Co., Ltd. achieved good results.

In scenario 8 (abnormal behavior detection of IPTV account of radio and television), the team from Beijing University of Technology, Guangxi Radio and Television Station and the Institute of Information Engineering of the Chinese Academy of Sciences achieved good results.

　　This testing activity was guided by the Cybersecurity Coordination Bureau of the Central Cyberspace Office, the Administration Office of the Supreme People's Court, the Department of Science, Technology and Information Technology of the Ministry of Education, the Cybersecurity Administration Bureau of the Ministry of Industry and Information Technology, the Bureau of Science, Technology and Information Technology of the Ministry of Public Security, the Cyberspace Office of the Ministry of Human Resources and Social Security, the Cyberspace Office of the Ministry of Natural Resources, the Department of Science and Technology of the Ministry of Transport, the Department of E-Commerce of the Ministry of Commerce, the Department of Science and Technology of the People's Bank of China, the Department of Science and Technology Development of the General Administration of Customs, the Department of Security Transmission Security of SARFT, the Office of the National Bureau of Statistics, the Bureau of Science and Technology of the Chinese Academy of Sciences, the Department of Power Security Supervision of the National Energy Administration, the Department of, Shandong Radio and Television Station, Co organized by China Academy of Judicial Big Data, Information Center of the Ministry of Human Resources and Social Security, Three Gorges Navigation Administration, China Financial Electronics Group Co., Ltd., Industrial and Commercial Bank of China, Data Management Center of the National Bureau of Statistics, China Datang Corporation, State Power Investment Corporation, Air China Limited, Tianjin Binhai International Airport, Zhongguancun Laboratory, Chang'an Communication Technology Co., Ltd. and other units.