Core Viewpoint - The company aims for long-term high-quality development by focusing on gross profit as a business assessment metric and optimizing its revenue structure, particularly in high-value security services [1] Group 1 - The company plans to continue its operational strategy centered on gross profit as a key performance indicator [1] - The focus will be on high-value security business to enhance revenue quality [1] - The company’s artificial intelligence product, Anxing Intelligent Body, can connect with major models such as China Mobile's Jiutian model and open-source DeepSeek [1]

证券日报网讯1月27日，启明星辰（002439）在互动平台回答投资者提问时表示，公司于2024年半年度 报告"第三节管理层讨论与分析"的"二、核心竞争力分析"中介绍了相关技术内容。关于AI应用，公司战 略布局"AI+安全"方向，一方面保护AI的应用安全，公司快速推出大模型安全产品矩阵，针对大模型应 用安全风险形成系统性解决方案；另一方面通过AI赋能安全能力，训练优化安全大模型、构建安全智 能体。安星智能体，应用于安全运营、威胁检测、数据安全等产品或服务中，显著提升了产品的能力和 服务的效率。 ...

Core Viewpoint - The company, Qimingxingchen Information Technology Group Co., Ltd., has been recognized for its outstanding performance in the ESG (Environmental, Social, and Governance) field, receiving multiple awards and ratings that highlight its commitment to sustainable development and digital security [1][2][4]. Group 1: ESG Recognition and Awards - Qimingxingchen was awarded the title of "ESG Pioneer Enterprise" at the ESG China 8th Beijing Responsibility Exhibition, marking its second consecutive year of recognition in the ESG domain [1]. - The company also received accolades such as being listed among the "Top 100 ESG Listed Companies" by CCTV and achieving an A rating in the China Securities ESG rating [1]. - For six consecutive years, Qimingxingchen has received the highest A rating for information disclosure from the Shenzhen Stock Exchange, indicating its strong governance transparency [4]. Group 2: ESG Management Framework - The company has established a comprehensive ESG management framework that covers decision-making, execution, and supervision, ensuring robust institutional support for sustainable development [4]. - A Sustainable Development Guidance Committee has been set up as the highest decision-making body for ESG initiatives, supported by an execution committee and a permanent office [4]. - In 2024, Qimingxingchen will implement a dual materiality assessment method that incorporates financial perspectives into its ESG topic importance evaluation [4]. Group 3: Environmental Responsibility - Qimingxingchen integrates low-carbon principles into its daily operations, achieving a significant reduction of 676.825 tons of CO2 emissions in 2024 through energy-saving technologies and green office practices [5]. - The company provides green solutions that leverage its cybersecurity technology to support the digital and low-carbon transformation across various industries [5]. Group 4: Technological Innovation and Social Value - The company emphasizes the integration of ESG principles into its technological innovations, particularly in the "AI + Security" domain, establishing a comprehensive security technology matrix [6][7]. - Qimingxingchen has launched the "Jiutian・Taihe Security Model," which integrates core industry data resources to enhance security capabilities [7]. - The company has developed 116 cloud security products that provide lifecycle protection for cloud data and applications, addressing security challenges in data circulation [7][8]. Group 5: Industry Leadership and Future Outlook - Qimingxingchen is actively involved in various emerging sectors, including industrial internet and satellite internet, ensuring the safety of new infrastructure through innovative products [8]. - The company's technological advancements not only represent self-innovation but also transform AI into a new productive force in the security field, enhancing proactive defense capabilities [8]. - As ESG becomes a crucial component of corporate competitiveness, Qimingxingchen's achievements in this area provide valuable insights for sustainable development in China's tech industry [8].

Group 1: Policy and Regulatory Developments - The 18th meeting of the 14th National People's Congress Standing Committee approved amendments to the Cybersecurity Law, effective January 1, 2026, which supports AI foundational research and key technology development [1] - The revised law aims to shift AI governance from partial regulation to systematic regulation, enhancing ethical standards and risk monitoring [1] Group 2: Industry Trends and Company Initiatives - Companies like Deepin Technology are integrating AI into their cybersecurity and cloud computing products, with plans for further investment in AI technology [1] - Tianrongxin has developed a comprehensive security product system and is focusing on deep integration of AI with cybersecurity and intelligent cloud solutions [2] - Ant Group has launched innovative products that combine cybersecurity with AI, including a trusted connection framework for smart glasses [2] - Companies like Qiming Star and AsiaInfo are reporting significant growth in AI model applications and are focusing on AI-driven operational efficiency [2] Group 3: Market Analysis and Investment Opportunities - Analysts suggest that investments in AI infrastructure and applications will increase, particularly in domestic computing power and AI chip sectors [3] - Dongxing Securities highlights a three-dimensional resonance in the AI industry driven by policy, technology, and demand, indicating a positive outlook for domestic chip and cloud computing leaders [3] - Zhongyin International notes that the AI industry is experiencing a "super cycle" in storage, with rising prices for storage chips and ongoing validation of the domestic computing power industry [3] Group 4: Company Performance and Projections - Baidu has been developing large model technology since 2018, with recent upgrades to its models indicating ongoing innovation in AI [4] - Alibaba is investing 380 billion in AI infrastructure over three years, anticipating a tenfold increase in energy consumption by 2032 compared to 2022 [5] - SenseTime is expected to benefit from revenue growth in generative AI and has formed strategic partnerships to enhance its AI computing capabilities [5] - UBTECH has secured significant contracts, including a 126 million yuan project for intelligent data collection and testing [6]

Core Insights - Multiple cybersecurity companies are actively investing in AI technology development, enhancing their product capabilities and operational efficiency [1][2][3] - The integration of AI in cybersecurity is seen as a double-edged sword, presenting both new security risks and opportunities for improved efficiency [1][4] Group 1: Company Developments - Green Alliance Technology plans to launch AI security products, including an AI security integrated machine and a large model security assessment system [1] - North Trust has developed an AI capability platform that integrates large models and development tools, with applications delivered in finance and energy sectors [1][2] - Deepin Technology has incorporated large model technology into its cybersecurity products, including a security GPT and AI firewall, with plans for further investment in AI R&D [2] - Ant Group has released innovative products that combine cybersecurity and 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, significantly enhancing product capabilities [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 [3] Group 2: Industry Trends and Challenges - Gartner's report indicates a shift in focus towards securing AI systems in cybersecurity, with expectations that 60% of large Chinese enterprises will adopt exposure management technology by 2027 [4] - The need for companies to be aware of risks associated with AI model applications, such as prompt injection and model manipulation, is emphasized [4][5] - The importance of supply chain security in AI applications is highlighted, with calls for enhanced version vulnerability management and code security audits [5] - The rapid adoption of AI models is expected to create significant security risks, necessitating a dynamic defense system and cross-departmental collaboration [5][6] Group 3: Recommendations for AI Security - Experts suggest mandatory registration for AI models to identify risks early and ensure comprehensive understanding of their security and usability [6] - Companies are encouraged to conduct compliance assessments and deploy specialized protections, such as AI security barriers, to defend against new types of attacks [6] - Establishing trust through security measures is seen as essential for promoting data flow and maximizing the value of AI applications across various industries [6]

Core 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]

Core Viewpoint - The company is focusing on the strategic layout of "AI + Security" in its core business of cybersecurity, leveraging AI to enhance security capabilities and optimize security models [1] Group 1: AI Empowerment in Security - The company is training and optimizing security large models and building intelligent security agents using AI [1] - The foundation of the security large model is based on China Mobile's Jiutian large model, supported by its powerful computing resources [1] - The company is continuously upgrading the Taihe security large model with high-quality security datasets, significantly improving product capabilities and service efficiency [1] Group 2: AI Application Security - The company is rapidly launching a matrix of large model security products to address security risks associated with large model applications [1] - A systematic solution has been formed to tackle the security risks of AI applications [1] - The company has not participated in the "Liuyun" large model [1]

Group 1 - The core viewpoint of the article highlights the advancements in AI agents, with companies like DeepSeek and China Telecom developing new models to enhance AI capabilities [2] - The company Yingxingshen (启明星辰) has reported progress on its Anxing AI agent, which is already applied in security operations, threat detection, and data security, significantly improving product capabilities and service efficiency [2] - In the "AI agent + security operations" area, the Anxing AI operational system has established a "security intelligent agent collaborative architecture," providing custom agents, knowledge base management, and visual workflow capabilities, enhancing the intelligence level of security operations [2] - The Anxing AI agent is deeply integrated with the XDR system in the "AI agent + threat detection" area, greatly improving the effectiveness of threat hunting, analysis, and defense [2] - The company aims to continuously evolve and innovate the capabilities of the Anxing AI agent to empower more security scenarios [2]

Core Viewpoint - The company has not participated in China Mobile's "Liu Yun" AI logistics model but is focusing on enhancing its own AI capabilities in the cybersecurity domain through collaboration with China Mobile's resources [1] Group 1: Company Strategy - The company is strategically positioning itself in the "AI + Security" direction, leveraging AI to enhance its cybersecurity capabilities [1] - It is training and optimizing a large security model based on China Mobile's Jiutian model, utilizing high-quality security datasets to improve its Taihe security model [1] Group 2: Product Development - The company has developed the Anxing intelligent agent, which is applied in security operations, threat detection, and data security products, significantly improving product capabilities and service efficiency [1] - A matrix of large model security products has been quickly launched to address safety risks associated with AI applications, providing a systematic solution [1]

Core Viewpoint - The company, Qiming Star, emphasizes that its Anxing Intelligent System is primarily designed for cybersecurity scenarios, leveraging self-developed security products and tools to enhance intelligent security operations, threat detection, data analysis, and proactive defense capabilities to address complex threats [1] Group 1 - The Anxing Intelligent System helps users build an AI + security protection system, improving efficiency and capabilities [1] - The company states that its intelligent system does not require adaptation to the Hongmeng Intelligent System in the current application scenarios [1]