Zhong Guo Zheng Quan Bao·2025-09-23 20:16Core Insights - Multiple cybersecurity companies are actively investing in AI technology development, leading to innovative products and solutions in the cybersecurity sector [1][2][3] - The integration of AI in cybersecurity is seen as a double-edged sword, presenting both new security risks and opportunities for efficiency and product enhancement [1][3] Group 1: Company Developments - Green Alliance Technology plans to launch a series of AI security products aimed at protecting large models, including an AI security integrated machine and an AI security fence [1] - North Trust has developed an AI capability platform that integrates large models and tools, which has been deployed in sectors like finance and energy [1][2] - Deepin Technology has incorporated large model technology into its cybersecurity products, including a security GPT and AI firewall, and plans to increase R&D investment in AI [2] - Ant Group has introduced innovative products that merge cybersecurity with AI technology, including a trusted connection framework for smart glasses [2] - Starry Sky Technology's AI model has been applied in security operations and threat detection, enhancing product capabilities and service efficiency [3] - AsiaInfo reported significant growth in AI model applications and deliveries in the first half of the year, focusing on AI model applications, 5G private networks, and intelligent operations as growth engines [3] Group 2: Industry Trends and Challenges - According to Gartner, the focus of cybersecurity in China is shifting towards ensuring the safety of AI, with expectations that by 2027, 60% of large enterprises will adopt exposure management technologies [3][4] - The risks associated with AI model applications include prompt injection and model manipulation, which require careful monitoring and preventive measures [3][4] - The importance of supply chain security in AI applications is emphasized, as vulnerabilities and configuration errors can lead to significant data leaks [4] - The rapid adoption of AI models is likened to the early days of website proliferation, but it also brings a surge in security risks due to the extensive permissions these models may have [4][5] Group 3: Recommendations for AI Security - Experts suggest mandatory registration for AI models to identify risks early and enhance user understanding of their safety and usability [5] - Companies are encouraged to build protective systems for AI applications, including compliance assessments and the deployment of AI security technologies [5] - Establishing trust through security measures is seen as essential for promoting data flow and maximizing the value of AI across various industries [5]