Overview of Guarantee Situation - Tianrongxin Technology Group Co., Ltd. has agreed to provide an irrevocable joint liability guarantee for its wholly-owned subsidiary, Beijing Tianrongxin Network Security Technology Co., Ltd., with a total bank credit limit not exceeding RMB 105 million [2][5] - The guarantee is valid for 12 months from the date of approval at the company's first extraordinary general meeting in 2025 [2] Basic Information of the Guaranteed Party - Beijing Tianrongxin Network Security Technology Co., Ltd. was established on November 6, 1995, with a registered capital of RMB 35 million [3] - The company specializes in network technology, computer software and hardware, and electronic equipment, among other services [3] Progress of Guarantee - On September 24, 2025, the company signed a "Maximum Irrevocable Guarantee" with China Merchants Bank Beijing Branch, providing a joint liability guarantee for a credit limit of up to RMB 30 million [5][6] - After this guarantee, the cumulative guarantee balance for Tianrongxin Network will be RMB 60 million, leaving a remaining available guarantee limit of RMB 45 million [5][7] Main Content of Guarantee Agreement - The guarantee period extends from the effective date of the guarantee until the maturity date of each loan or financing under the credit agreement, plus an additional three years [6] - The guarantee covers the principal balance of loans and other credit provided by China Merchants Bank, along with related interest and fees [6] Cumulative Guarantee and Overdue Guarantee - As of the announcement date, the total guarantee limit for Tianrongxin Network is RMB 105 million, accounting for 11.18% of the company's latest audited net assets [7] - The cumulative guarantee balance after this agreement is RMB 60 million, representing 6.39% of the company's latest audited net assets [7]

（文章来源：证券日报） 证券日报网讯 9月24日晚间，天融信发布公告称，公司及控股子公司未发生逾期担保、涉及诉讼的担保 及因担保被判决败诉而应承担损失的情况。 ...

具体内容详见公司分别于2025年2月11日、2025年2月27日在巨潮资讯网 （www.cninfo.com.cn）及《中国证券报》《上海证券报》《证券时报》《证券 日报》披露的相关公告。 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有 虚假记载、误导性陈述或重大遗漏。 一、担保情况概述 天融信科技集团股份有限公司(以下简称"公司")分别于2025年2月10日、 2025年2月26日召开第七届董事会第十九次会议、2025年第一次临时股东会，同 意公司为全资孙公司北京天融信网络安全技术有限公司（以下简称"天融信网络"） 金额不超过人民币105,000.00万元的银行综合授信总额度提供不可撤销的连带责 任保证，有效期为自公司2025年第一次临时股东会审议通过之日起12个月。在上 述总额度内发生的具体担保事项，授权公司法定代表人或法定代表人指定的授权 代理人办理相关手续，并签署相关法律文件。 二、被担保人基本情况 1、基本情况 证券代码：002212 证券简称：天融信 公告编号：2025-054 天融信科技集团股份有限公司 关于公司为全资孙公司银行综合授信总额度提供担保的进展公告 天融信科技集团股份 ...

Group 1 - The core point of the article is that Tianrongxin (002212.SZ) has not yet participated in Oracle cloud order business despite the surge in orders [2] - The company provides network security, intelligent computing cloud, and other products and solutions for various industry clients [2]

Group 1 - The company has not yet participated in Oracle's cloud order business [1] - The company provides cybersecurity, intelligent computing cloud, and other products and solutions for various industry clients [1]

Group 1 - The focus is on the information technology self-controllable sector, with the Xinchuang ETF fund (562030) experiencing a mid-session increase of 2.68% and currently up by 1.96% [1] - Among the constituent stocks, Neusoft Group leads with over 6% increase, followed by Chengdu Huami and Kingsoft Office with over 4% gains, and other stocks like Deepin Technology, 360 Security, and CloudWalk Technology also showing upward trends [1] Group 2 - Multiple cybersecurity listed companies are actively investing in AI technology research and development, with Deepin Technology applying large model technology to network security products, creating AI firewalls and other security products [3] - Ant Group has recently launched innovative products and solutions that integrate network security and AI technology, including the gPass framework for smart glasses, which has partnered with brands like Rokid and Xiaomi [3] - Market analysts indicate that the application of AI technology will lead to explosive growth across various industries, but security issues are limiting data circulation [3] Group 3 - Dongguan Securities notes that the Xinchuang industry is steadily advancing according to a "2+8+N" rhythm, transitioning from policy-driven to a dual drive of policy and market [4] - The market scale is expected to grow significantly, with projected growth rates of 17.84% and 26.82% for 2025 and 2026 respectively, and the market is anticipated to exceed 2.6 trillion yuan by 2026 [4] Group 4 - The Xinchuang ETF fund (562030) and its linked funds are designed to passively track the CSI Xinchuang Index, which covers key segments of the Xinchuang industry chain, including hardware, software, application software, and information security [6] - The investment logic for the Xinchuang industry includes international geopolitical disturbances, increased local debt efforts, technological breakthroughs by domestic manufacturers, and the critical timing of procurement standards [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]

Group 1 - The company has not participated in the supply chain of the Ascend 384 super node [1] - The company has jointly released an intelligent computing integrated machine (Ascend version) with Huawei [1]

Group 1 - The company has not participated in the supply chain of Huawei's Ascend 384 super node [1] - The company has jointly released an intelligent computing integrated machine (Ascend version) with Huawei [1]