新华社吉隆坡1月24日电 专访｜马来西亚将持续深化与中国在AI与网络安全领域合作——访马国家网络 安全局局长梅加特·祖海里 新华社记者王嘉伟程一恒 "这一临时措施并不是为了阻止创新，或限制先进技术在马来西亚发展，而是为了管理AI可能被滥用所 带来的负面影响，特别是在伦理和内容安全方面。"他说。 梅加特·祖海里指出，AI技术的应用必须建立在清晰的伦理框架之上，确保技术发展不会损害社会公共 利益和信息安全。他表示，马来西亚正加快完善相关法律和制度安排，同时也在推进开发更具灵活性的 AI安全治理工具。马来西亚国家网络安全机构正在制定AI安全指引。 "人工智能技术发展迅速，我们希望建立具有灵活性、可动态调整的安全指引，以便在必要时能够及时 修订和更新。这不仅涉及监管规定，同时也会强调人工智能使用者的自身责任。" 随着人工智能（AI）技术加速发展，相关研发、治理与安全问题日益受到国际社会关注。围绕马中在 AI与网络安全领域的合作和治理等议题，马来西亚国家网络安全局局长梅加特·祖海里·宾·梅加特·塔杰 丁23日在接受新华社记者专访时表示，长期以来，中国在前沿技术领域积累了丰富经验，一直是马方在 能力建设方面的重要合作伙伴 ...

某日，陈某偶然刷到某境外旅游穿搭博主的视频，被其发布的内容所吸引，随即对该博主产生强烈崇 拜，开启了长期关注之路。但陈某并未在意这位博主常在视频中"夹带私货"，借分享生活之名，散布歪 曲事实、抹黑我国家形象的言论。当相关部门依法对该博主的境内账号和视频进行封禁处理后，陈某非 但没有醒悟，反而通过"翻墙"软件继续在境外社交平台上关注该博主。同时，他发现该博主此前在境内 社交平台上积累了不少"粉丝"，有一定"明星效应"。当部分粉丝在线上询问观看渠道时，陈某嗅到"商 机"，萌生了从境外社交平台"搬运"该博主不法视频获利的念头。 法律的红线 随着互联网技术的飞速发展和社交平台的广泛应用，越来越多的人在网络上分享观点，"晒"出态度。但 个别人员为树"个性""敢言"的人设，竟公然传播错误言论、损害国家形象。而一些"粉丝"被所谓"偶像 光环"迷惑，成为其传播不当言论、危害国家利益的帮手。 近日，国家安全机关查处了一起制作、传播、出售危害国家安全的音像制品案件，及时消除危害，有力 维护了国家形象和利益。 为规避网络监管，陈某通过录屏的方式保存该博主在境外社交平台上发布的视频，经二次剪辑后倒卖给 境内用户，以此获利。经查，陈某 ...

Group 1: Technology and Infrastructure - The global financial market is transitioning from technological breakthroughs to deepening infrastructure, with a focus on core pillars supporting the digital age [1][4] - In 2025, AI leaders like Palantir and Alphabet saw significant stock increases of 135% and 65% respectively, marking the beginning of a technological revolution [1][4] - The memory and data storage sector, often overlooked, is becoming critical due to the surge in computing power and data processing demands, with companies like Samsung, SK Hynix, and Micron dominating global capacity [1][4] - Micron Technology achieved a remarkable 240% increase in stock price last year, yet its valuation remains attractive compared to the overall high P/E ratios in the tech sector [1][4] - Market sentiment in 2026 is expected to follow a rotation logic similar to that of precious metals, with new investment opportunities emerging in cloud computing, cybersecurity, and high-speed bandwidth [1][4] Group 2: Energy Transition - The energy structure transition is essential for AI development, as the demand for power to train top AI models exceeds the capacity of traditional renewable energy sources [2][5] - The rise of small modular reactors (SMRs) is becoming a key solution, with major tech companies like Meta and Amazon investing in clean nuclear energy [2][5] - The commercialization of SMRs is set to transform the nuclear industry, moving away from large-scale projects to efficient, modular production [2][5] - The entire nuclear supply chain, from uranium mining to reactor component manufacturing, is experiencing a multi-dimensional recovery, presenting opportunities for investors [2][5] Group 3: Digital Assets - Despite a lackluster performance in 2025, the cryptocurrency market is maturing, with institutional investment reducing volatility and enhancing compliance [3][6] - The introduction of regulatory frameworks like the Clarity Act is expected to bring decentralized financial facilities out of the legal gray area, marking a significant shift [3][6] - The speculative trading phase driven by retail investors is nearing its end, paving the way for new financial instruments backed by legal protections and institutional support [3][6] - As global regulatory uncertainties dissipate, cryptocurrencies are anticipated to transition from speculative assets to integral components of the global financial system [3][6]

Core Viewpoint - AsiaInfo Security (688225.SH) has projected a significant increase in revenue for 2025, but anticipates a net loss compared to the previous year [1] Financial Performance - For 2025, AsiaInfo Security expects revenue between 740 million to 800 million yuan, an increase of 380.49 million to 440.49 million yuan year-on-year [1] - The company forecasts a net loss attributable to shareholders of 50 million to 38 million yuan for 2025, a decrease of 38.96 million to 50.96 million yuan compared to the previous year [1] - The projected net profit excluding non-recurring gains and losses for 2025 is expected to be between -40 million to -29 million yuan, down by 27.37 million to 38.37 million yuan year-on-year [1] - In 2024, AsiaInfo Security reported revenue of 3.595 billion yuan, a year-on-year increase of 123.56% [2] - The net profit attributable to shareholders in 2024 was 9.59 million yuan, recovering from a loss of 291.08 million yuan in the previous year [2] - The net profit excluding non-recurring gains and losses for 2024 was -16.26 million yuan, an improvement from -32.49 million yuan in 2023 [2] - The net cash flow from operating activities for 2024 was 1.145 billion yuan, a significant recovery from -379.34 million yuan in 2023 [2] IPO and Fundraising - AsiaInfo Security was listed on the Sci-Tech Innovation Board on February 9, 2022, with an initial public offering of 40.01 million shares at a price of 30.51 yuan per share [2] - The total amount raised from the IPO was 1.221 billion yuan, with a net amount of 1.123 billion yuan, which was 85.06 million yuan less than originally planned [3] - The funds raised are intended for various projects including cloud security operations, smart security products, and 5G cloud network security products [3] - The total issuance costs for the IPO were 98.19 million yuan, with underwriting fees amounting to 73.24 million yuan [4]

Core Viewpoint - Nanshing Co., Ltd. has shown a mixed performance in stock price and financial results, with a notable increase in stock price year-to-date but a decline in revenue and net profit for the recent period [1][2]. Group 1: Stock Performance - On January 23, Nanshing's stock price increased by 2.07%, reaching 20.68 CNY per share, with a trading volume of 1.48 billion CNY and a turnover rate of 2.57%, resulting in a total market capitalization of 6.11 billion CNY [1]. - Year-to-date, Nanshing's stock price has risen by 6.21%, but it has decreased by 3.36% over the last five trading days, while it has increased by 30.47% over the last 20 days and 21.36% over the last 60 days [1]. - The company has appeared on the "龙虎榜" (a stock trading list) five times this year, with the most recent appearance on January 19 [1]. Group 2: Financial Performance - For the period from January to September 2025, Nanshing reported a revenue of 2.426 billion CNY, representing a year-on-year decrease of 5.80%, and a net profit attributable to shareholders of 91.82 million CNY, down 55.69% year-on-year [2]. - Since its A-share listing, Nanshing has distributed a total of 904 million CNY in dividends, with 517 million CNY distributed over the last three years [3]. Group 3: Shareholder Information - As of September 30, 2025, Nanshing had 49,300 shareholders, a decrease of 3.96% from the previous period, with an average of 5,725 circulating shares per shareholder, an increase of 4.12% [2]. - Among the top ten circulating shareholders, Hong Kong Central Clearing Limited is the third-largest shareholder with 2.7268 million shares, marking its entry as a new shareholder [3].

Core Insights - The integration of artificial intelligence (AI) into the global economy is fundamentally changing the cybersecurity landscape, creating both risks and opportunities for defense mechanisms [1][2] - Palo Alto Networks has identified 2026 as a pivotal year for cybersecurity, emphasizing the need for a systemic transformation in security architecture to adapt to AI advancements [2][3] Group 1: Predictions and Trends - The report outlines six major trends for AI and cybersecurity by 2026, starting with the threat of AI identity spoofing, which could lead to a crisis of authenticity due to the high ratio of autonomous AI agents to humans [3][4] - The introduction of autonomous AI agents is expected to address the global shortage of 4.8 million cybersecurity professionals, but these agents will also become prime targets for attackers, necessitating a "controlled autonomy" defense system [4][5] - Data poisoning is anticipated to become a new frontier in cyberattacks, where attackers will covertly alter AI training data, leading to a fundamental "data trust crisis" [5][6] Group 2: Legal and Operational Challenges - The rapid adoption of AI technologies is outpacing the development of security strategies, with only 6% of companies having a comprehensive AI security plan, which could lead to significant legal liabilities for executives [5][6] - The emergence of quantum computing is expected to create a "retrospective insecurity" crisis, compelling companies to transition to post-quantum cryptography systems [5][6] - Browsers are evolving from information aggregation tools to intelligent agent platforms, necessitating the adoption of integrated cloud-native security architectures to implement zero-trust security measures [5][6]

Core Viewpoint - The Chinese government expresses serious concern over the European Union's classification of certain Chinese companies as high-risk suppliers, which restricts their participation in 5G infrastructure development [1][2] Group 1: EU's Actions - The European Commission proposed a new amendment to the Cybersecurity Act on January 20, aiming to phase out components and equipment from high-risk suppliers in critical infrastructure [1] - The EU's requirement for member states to exclude high-risk suppliers from 18 key industries, including energy, transportation, and ICT services, is viewed as a direct action against Chinese companies [1] Group 2: China's Response - The Chinese government emphasizes that its companies have been operating in Europe in compliance with local laws, providing quality products and services that contribute to the development of the European telecommunications and digital industries [1] - The Chinese government firmly opposes the EU's discriminatory actions against Chinese companies and the politicization of economic issues [1] Group 3: Market Implications - The use of non-technical standards by the EU to restrict or prohibit market access is seen as a significant distortion of fair competition, which could harm both parties and create risks in the digital supply chain [1] - The Chinese government urges the EU to adhere to the principle of technological neutrality in cybersecurity and avoid excessive security measures that could hinder normal economic cooperation between China and the EU [2]

Investment Rating - The report does not provide a specific investment rating for the industry. Core Insights - The document outlines the importance of training data cleansing as a critical step in ensuring the quality of AI model training, emphasizing the need to eliminate content that violates core socialist values, discriminatory content, and any illegal or infringing information [8][11]. - It presents safety principles for training data cleansing, including safety control, diversity of data sources, transparency, and continuous iteration [17]. - The report identifies various risks associated with training data, such as data quality risks, risks of violating socialist core values, discriminatory content risks, commercial legal risks, and risks of infringing on others' legal rights [18][20][21][23][24]. Summary by Sections 1. Scope - The document provides guidelines applicable to all entities involved in training data cleansing, including AI model developers and data suppliers [11]. 2. Terminology Definitions - Key terms are defined, including "training data," "training data cleansing activities," and "security of training data cleansing process," which are essential for understanding the context of the guidelines [12][13]. 3. Safety Principles for Training Data Cleansing - The principles include: - Safety and control: Ensuring data legality and content safety [17]. - Diversity: Considering various data sources and scenarios [17]. - Transparency: Documenting rules and decisions for auditability [17]. - Continuous iteration: Adapting strategies based on feedback and changes [17]. 4. Risk Identification Dimensions - The report categorizes risks into several dimensions, including: - Data quality risks: Issues like incompleteness, inaccuracies, and outdated data [18]. - Violations of socialist core values: Content that could negatively impact society [20]. - Discriminatory content risks: Systematic biases against specific groups [21]. - Commercial legal risks: Risks associated with intellectual property violations [23]. - Infringement of legal rights: Risks related to personal information and other rights [24]. 5. Cleansing Methods - Various methods for data cleansing are outlined, including: - Data quality processing: Addressing completeness, accuracy, timeliness, usability, and redundancy [31]. - Source control: Ensuring data comes from reliable and verified sources [33]. - Content safety review: Implementing filtering rules and models for harmful content [35]. - Personal information protection: Techniques for anonymization and de-identification [36]. - Bias mitigation: Strategies to balance representation in training data [38]. 6. Implementation Process - The report details a structured process for implementing data cleansing, including: - Data collection and source review: Defining the scope and purpose of data collection [41][42]. - Initial data quality processing: Checking for completeness, accuracy, and relevance [43][44]. - Risk identification and cleansing strategy formulation: Using statistical and technical methods for risk assessment [48][49]. - Data cleansing execution: Following established methods to cleanse data [51]. - Secondary risk assessment: Evaluating the effectiveness of cleansing methods [52][53][54][55][56]. - Continuous monitoring and iterative optimization: Establishing feedback mechanisms and regular reviews [62][64].

Core Viewpoint - AsiaInfo Security (688225.SH) anticipates a net loss attributable to shareholders of the parent company for the year 2025, estimated between 380 million to 500 million yuan compared to the previous year [1] Financial Performance - The company expects a significant decline in net profit for 2025, projecting a loss of 380 million to 500 million yuan [1] - The increase in interest expenses for 2025 is estimated to be around 30 million yuan compared to 2024 [1] Business Operations - The network security business has not experienced significant changes, with the company continuing to focus on high-value customer segments and optimizing product structure [1] - There has been a slight growth in the operator industry solutions business during the reporting period [1] Impact Factors - The primary reasons for the profit fluctuation include non-cash fair value loss and increased interest expenses from acquisition loans [1] - The company recognized a fair value loss of approximately 124 million yuan related to equity assets of associated companies [1]

Core Viewpoint - AsiaInfo Security (688225.SH) anticipates a net loss attributable to shareholders of the parent company for the fiscal year 2025, projecting a loss between 380 million to 500 million yuan compared to the previous year [1] Group 1: Financial Performance - The company expects a net loss of 380 million to 500 million yuan for 2025, indicating a significant decline compared to the previous year's statutory disclosure data [1] - The increase in interest expenses for 2025 is estimated to be around 30 million yuan compared to 2024 [1] Group 2: Business Operations - The network security business has not experienced significant changes, with the company continuing to focus on high-value customer segments and optimizing product structure [1] - There has been a slight growth in the operator industry solution business during the reporting period [1] Group 3: Impact Factors - The primary reasons for the profit fluctuation include non-cash fair value change losses and increased interest expenses from acquisition loans [1] - The company recognized a fair value change loss of approximately 124 million yuan related to equity assets of associated companies, adhering to financial prudence principles [1]