Big data protects "big security" 360 security big model will be unveiled at the 2024 Big Data Expo
2024-08-24
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The 2024 China International Big Data Industry Expo (hereinafter referred to as "Big Data Expo") will open on August 28. 360 Digital Security Group (hereinafter referred to as "360 Digital Security"), a leading domestic cybersecurity company, will exhibit its "black technologies" such as 360 Security Big Model, 360 Whole Network Digital Security Brain, 360 Local Security Brain, 360AI Browser and 360AI Search.
The 360 Security Big Model is the COE big model architecture pioneered by 360. It redefines the knowledge acquisition, security analysis and security disposal processes, and constructs a security vertical big model matrix including "attack detection big model, operation disposal big model, security knowledge big model, content security big model", etc., to help government and enterprise units solve problems such as the difficulty in detecting unknown threats and the difficulty in improving operational efficiency, and realize the intelligent upgrade of the "see + handle" security system.
At present, 360 Security Big Model has been put into practice in many business scenarios such as terminals, security operations, and security services. At this professional exhibition, 360 Digital Security will also demonstrate the performance of the combination of 360 Security Big Model and local security brain in security operation scenarios - in actual applications, the alarm noise reduction effect is improved by nearly 10 times, the operation efficiency is increased by 300%, and the operation effect and efficiency in scenarios such as enterprise asset inventory, data access and analysis, analysis and judgment, traceability investigation, and replay report are greatly improved.
In addition, 360AI search, which uses five scenario models, namely thinking model, search model, reading model, writing model and questioning model, to work together, provides users with multi-language, multi-modal and multi-task search, changing the search content feedback from "fuzzy" to "precise", greatly improving the user experience.
Source: China International Big Data Industry Expo Executive Committee
Editor: Dong Jiaxing
Second trial of Li Zhongdi
The third trial of Hu Lihua
