Group 1 - The event aimed to enhance public awareness and skills in cybersecurity, creating a safe and healthy online environment, in line with the "Grateful to the Party, Listen to the Party, Follow the Party" educational campaign [2] - The activity focused on the theme "Cybersecurity Service Delivery," utilizing an immersive market experience that included stage performances, interactive experiences, policy consultations, and legal education [4] - Various activities attracted a large number of participants, with interactive games and quizzes designed to engage the audience and teach them to recognize fraud methods [6] Group 2 - Participating units emphasized building a shared online spiritual home, using hands-on teaching, case studies, and video presentations to educate on common fraud types and prevention techniques [8] - A cybersecurity knowledge corridor was set up to display laws and guidelines, such as the Cybersecurity Law and Personal Information Protection Law, enhancing engagement and proactive learning among the rural population [9] - The event significantly improved the cybersecurity awareness and fraud prevention capabilities of the rural community, promoting a culture of collective responsibility for cybersecurity and integrating it with national unity and rural revitalization efforts [11]

Core Viewpoint - The article highlights the significance of the Cybersecurity Expo and related events in Kunming, showcasing advancements in digital security technologies and services, particularly by China Mobile, aimed at combating fraud and enhancing digital safety [1][2][3]. Group 1: Event Overview - The Cybersecurity Expo and International Promotion Conference for Cybersecurity Products and Services have made Kunming a focal point for the national cybersecurity industry [1]. - The event features various activities, including a technology summit, attracting significant public interest and participation [1]. Group 2: China Mobile's Innovations - China Mobile's "Xihua Guardian" offers three key functions: identification alerts, family protection, and insurance compensation, which have drawn considerable attention from visitors [1]. - The "Xihua Guardian" service has established a protective network for over 24 million users across the country, combining smart technology prevention with fraud insurance compensation [1]. Group 3: AI and Fraud Prevention - The "Xihua Anti-Fraud Digital Person" utilizes AI to interact with visitors, providing clear explanations of fraud-related processes and features such as one-click reporting and app risk detection [2]. - The AI system can quickly identify fraudulent apps installed on users' devices, enhancing the overall security framework [2]. Group 4: Low-altitude Security Measures - A low-altitude safety monitoring system demonstrated at the expo can autonomously detect and counteract unauthorized drones, showcasing advancements in airspace security [3]. - The "Hubble No. 1" 5G drone communication terminal allows for remote control via 5G networks, presenting new opportunities for emergency response [3]. Group 5: Addressing AI Risks - The industry faces challenges related to AI, including risks from large model dependencies, trust issues from model inaccuracies, and the need for comprehensive security evaluation systems [6]. - China Mobile's self-developed "Jiutian" model addresses these issues by implementing a dual identification mechanism to track AI-generated content and establishing a lifecycle security assessment platform [6]. - The company's AI technology can detect deepfake scams with over 95% accuracy in real-time, being integrated into various services like video calls and messaging [6].

Core Insights - The company Tianrongxin is actively investing in new technologies and directions such as AI + security, intelligent computing cloud, trusted innovation security, data security, cloud security, industrial internet security, vehicle networking security, and IoT security [1] - The company has developed a comprehensive "cloud, management, edge, terminal" full-stack security product system and intelligent computing cloud solutions, which have been scaled across multiple industries [1] - Future plans include strengthening existing products while focusing on the deep integration of network security and intelligent computing cloud products with emerging scenarios like artificial intelligence, low-altitude economy, satellite internet, and trusted data space [1] Company Strategy - The company aims to continuously expand its business boundaries by providing comprehensive network security and intelligent computing cloud products and solutions [1] - Emphasis will be placed on leveraging advantages in existing products to drive growth in new technology areas [1]

Group 1 - The core viewpoint of the article highlights the risks associated with AI servers being vulnerable to cyber attacks, emphasizing the need for a robust cybersecurity defense system [2] - The company has made investments and established a presence in the AI + security and intelligent computing cloud sectors, aiming to support the intelligent transformation of various industries [2] - In the AI + security domain, the company has launched innovative products and services such as AI version firewalls, large model security gateways, large model security assessments, and network data leakage prevention [2] Group 2 - In the intelligent computing cloud sector, the company has introduced products like the intelligent computing cloud platform and integrated intelligent computing machines, achieving a deep integration of "security + computing power" [2] - The intelligent computing cloud products include capabilities for full lifecycle management of intelligent agents, panoramic views of container assets, image vulnerability scanning, model service API control, and sensitive word detection [2] - These offerings are designed to meet the needs of intelligent computing centers, private deployment and training inference of large models, and security protection for large models [2]

Group 1 - The company, Tianrongxin, leverages its strong technical reserves, rich industry experience, mature marketing network, and strong brand core competitiveness to better meet diverse customer needs in product and security capabilities [2] - In the cloud service sector, the company has launched MSS security hosting operation services, integrating AI technology into exposure asset sorting, event analysis, and threat intelligence analysis to effectively address security challenges posed by new technologies and scenarios [2]

扬子晚报网讯（记者 徐晓风）伴随着AI等新技术的发展，网络安全已成为国家安全不可分割的一部分。近期，由中央宣传部、中央网信办、教育部、工 业和信息化部、公安部、中国人民银行、国家广播电视总局、全国总工会、共青团中央、全国妇联等十部门联合举办的2025年国家网络安全宣传周在云南 昆明举行。在活动现场举办的"中国网络安全创新创业大赛"上，"基于多模态一致性检验的图像智能鉴伪系统FidOK"从上百家参赛企业中脱颖而出，荣获 大赛奖项。 当前，AI加速了各行各业的发展，却也让文本、图像等信息的生成和篡改变得轻而易举。图像篡改手段层出不穷，鉴伪技术也需在迭代中跟上AI发展的 脚步。在图像安全领域，图像智能鉴伪系统创新性地提出了"多模态大语言模型方案"，打造具备强泛化与鲁棒性、检测准确率高的鉴伪系统，分析图像的 视觉特征内容一致性，实现跨模态语义理解。为了提升系统"决策"的合理性，大模型还能够输出图像篡改检测判断依据，应对判别模型"黑箱"问题，实现 检测过程的透明可信。 真实的业务场景是检验技术实力的"考场"。据合合信息技术团队人员介绍，目前，基于AI图像模型和大量数据训练，TextIn通用篡改检测平台已落地应用 于银行 ...

美股芯片股强势上涨推动下，美股芯片股基准指数、被视为"全球芯片股风向标"的费城证券交易所半导 体指数周二再度收涨0.3%，录得连续九个交易日上涨，创下自2017年以来持续时间最长的连涨。 借此东风，更多人工智能（AI）相关企业竞相谋求首次公开募股（IPO），甚至调高了上市目标价。 费城半导体指数创8年最长连涨 AI云基础设施公司Boost Run同意通过与SPAC公司Willow Lane Acquisition Corp合并在纳斯达克上市。 该交易对Boost Run 的估值为6.14亿美元。上市后，在股东赎回前，预计该SPAC信托账户可为公司提供 超过1.12亿美元的现金收益，以加速增长，扩展到新的数据中心，并继续软件开发。 Boost Run是越来越多的云基础架构提供商之一，根据其官网介绍，为客户提供使用数据中心设施中托 管的英伟达图形处理单元的服务器，这些服务器支持高性能培训和推理。除了英伟达，其供应商、合作 伙伴和分销渠道还包括联想、Tierpoint和Carahsoft。 Boost Run首席执行官卡罗斯（Andy Karos）表示："对计算的需求正在从依赖少数主要提供商转向支持 提供安全、可扩 ...

央视网消息：9月17日，2025年国家网络安全宣传周人工智能安全治理分论坛在云南昆明举行。与会嘉宾围绕人工智能风险挑战、 治理举措、应用安全、算法安全等议题进行深入探讨，并分享了最新研究成果与政务、金融、交通等领域的实践经验。如今，随着 技术不断创新，人工智能赋能千行百业的步伐也不断加快。在网络安全领域，人工智能的应用也让应对网络攻击变得更加高效。 在网络安全博览会上，技术人员向记者介绍，对大型企业来说，需要面对的网络攻击类型很多。 参展商技术人员邹洪介绍，常见的像这种web应用的攻击，还有一些是更加隐蔽的，比如利用一些木马通信，它对整个信道进行一 些加密之后再去进行攻击，让我们更加难以防范。 对于剩下需要人工进行研判的部分，AI大模型同样可以进行协助，分析、溯源攻击者的来源，进一步加快对网络攻击的处理速度。 对于一些不法分子利用AI大模型开展网络攻击的行为，技术人员也表示，需要以AI应对AI，做好网络安全防护。 邹洪介绍，因为大模型发起的网络攻击有它的一些特征，比如它的攻击频率会比较高，一些攻击模式相对来讲会比较固定。他们通 过AI的方式，对它的这种攻击行为和攻击模式进行学习。经过模型训练之后，他们通过模型 ...

Group 1 - Netskope has increased the proposed transaction size for its upcoming IPO, planning to issue 47.8 million shares at a price range of $17 to $19 per share, raising $860 million [1] - The revised midpoint valuation range indicates that Netskope will raise 13% more funds than previously expected, with a fully diluted market capitalization reaching $8.5 billion, up from $6.5 billion [1] - For the six months ending July 31, Netskope reported a net loss of $169.5 million on revenues of $328.5 million, compared to a net loss of $206.7 million on revenues of $251.3 million in the same period last year [1] Group 2 - The company plans to list on NASDAQ under the ticker symbol NTSK, with a pricing expected during the week of September 15, 2025 [2] - A consortium of underwriters for the IPO includes major financial institutions such as Morgan Stanley, JPMorgan, and Deutsche Bank among others [2]

Core Insights - The report indicates a global cybersecurity talent gap reaching 4.8 million by 2025, representing a 19% year-on-year increase [1][5]. Group 1: Talent Demand and Supply - Cybersecurity operations roles continue to dominate, accounting for 26.8% of positions, with companies favoring candidates with 3-5 years of experience and practical skills [2]. - 28.2% of job postings require candidates to have 3-5 years of experience, while practical experience and skills are prioritized at 76.2% and 72.2%, respectively [2]. - A total of 792 universities in China offer cybersecurity programs, which is 27.1% of all higher education institutions [9]. Group 2: Educational Initiatives - By 2025, 65.9% of universities will introduce AI security courses, a 15 percentage point increase from 2024 [2]. - 91.3% of institutions have established training labs, but only 52.4% offer sufficient internship and practical training projects [2]. - Experts recommend integrating large model security into mandatory courses and establishing a national strategy for "AI + security" talent [4]. Group 3: Talent Development Challenges - The talent shortage is evident at multiple levels, including high, medium, and low-skilled positions, indicating a general supply-demand imbalance [8]. - The nature of cybersecurity, being adversarial, leads to a lack of practical training in educational programs [10]. - The rapid evolution of internet technology necessitates ongoing attention to talent development, as highlighted in recent national policies [12]. Group 4: Collaborative Training Approaches - An ecological training model is essential, involving collaboration among government, educational institutions, enterprises, and society to create a comprehensive talent ecosystem [14].