资金面上看，今日数据安全概念板块获主力资金净流出39.43亿元，其中，122股获主力资金净流出，13 股主力资金净流出超亿元，净流出资金居首的是浙大网新，今日主力资金净流出4.64亿元，净流出资金 居前的还有中科曙光、中国长城、汉得信息等，主力资金分别净流出2.21亿元、1.93亿元、1.75亿元。 今日主力资金净流入居前的概念股有万兴科技、ST华通、海天瑞声等，主力资金分别净流入7076.44万 元、4615.66万元、2811.74万元。（数据宝） 数据安全概念资金流出榜 截至4月24日收盘，数据安全概念下跌3.07%，位居概念板块跌幅榜前列，板块内，星光股份、*ST信通 等跌停，东方通、信雅达、永信至诚等跌幅居前，股价上涨的有6只，涨幅居前的有ST证通、ST华通、 陕鼓动力等，分别上涨5.10%、2.39%、1.98%。 今日涨跌幅居前的概念板块 | 概念 | 今日涨跌幅（%） | 概念 | 今日涨跌幅（%） | | --- | --- | --- | --- | | PEEK材料 | 3.70 | 电子身份证 | -3.20 | | 丙烯酸 | 1.89 | 华为盘古 | -3.13 | | 天津自贸 ...

Investment Rating - The report maintains an "Accumulate-A" rating for the company [1][10]. Core Views - The company's revenue performance for the year is impacted by weak downstream demand, while collaboration with China Mobile continues to deepen [1][5]. - In 2024, the company achieved a revenue of 3.315 billion yuan, a year-on-year decrease of 26.44%, and a net profit attributable to shareholders of -226 million yuan, a year-on-year decrease of 130.53% [4][10]. - The company is focusing on strategic collaboration with China Mobile, enhancing product offerings in AI security, cloud security, and data security, which are expected to drive future growth [6][10]. Financial Performance Summary - In 2024, the company's revenue from security products was 1.905 billion yuan, down 26.12% year-on-year, while revenue from security operations and services was 1.383 billion yuan, down 27.20% year-on-year [5]. - The gross margin for 2024 was 58.77%, an increase of 1.00 percentage points compared to the previous year [5]. - The company’s R&D expenses reached 852 million yuan in 2024, a year-on-year increase of 4.6% [5]. - The net profit margin for 2024 was -6.86%, a decrease of 23.27 percentage points year-on-year [5]. Future Earnings Estimates - The company is projected to have earnings per share (EPS) of 0.25, 0.32, and 0.40 for the years 2025, 2026, and 2027, respectively [10]. - Corresponding price-to-earnings (P/E) ratios for these years are estimated at 61.00, 47.19, and 37.94 [10].

金融界2025年4月17日消息，国家知识产权局信息显示，金蝶软件（中国）有限公司申请一项名为"数据 序列化方法、数据反序列化方法、系统及相关产品"的专利，公开号CN 119829561 A，申请日期为2024 年12月。 专利摘要显示，本申请实施例公开了数据序列化方法、数据反序列化方法、系统及相关产品，面对动态 实体中各组成元素的数据类型动态可变这一特殊性，本申请实施例将各组成元素拆卸成多个临时数集， 使得动态实体也能进行序列化如JSON序列化，进而使得同一类型的组成元素可分段输出成一组JSON字 符串，同时以便反序列化时，可基于相应的类型描述信息针对性地快速恢复出原类型的各组成元素。拒 绝对除数据包之外的额外数据进行反序列化，可保障即便被恶意注入了额外数据，也能根据第一字符串 的指示获悉哪些数据才是初始传来的，促使了进行反序列化的对象透明且可控制，确保成功反序列化， 保障数据的一致性和安全性。 本文源自：金融界 作者：情报员 天眼查资料显示，金蝶软件（中国）有限公司，成立于1993年，位于深圳市，是一家以从事软件和信息 技术服务业为主的企业。企业注册资本140000万人民币。通过天眼查大数据分析，金蝶软件（ ...

Group 1 - The core viewpoint of the articles emphasizes the collaboration between the Guangxi government and Qi Anxin Group to accelerate artificial intelligence security cooperation aimed at the ASEAN market [1][2] - The Guangxi government is committed to implementing national security strategies and leveraging opportunities from the national AI capability construction plan to enhance AI innovation cooperation with ASEAN [1] - Qi Anxin Group expresses confidence in the development potential of Guangxi as a gateway for cooperation with ASEAN and plans to invest in AI security, industrial development, and digital initiatives in the region [2] Group 2 - The establishment of the China-ASEAN AI Innovation Cooperation Center and the AI Security Research Institute is a key focus for both parties, aiming to enhance practical cooperation in AI security, cybersecurity, data security, and talent cultivation [1][2] - The 22nd China-ASEAN Expo and Summit will be a platform to showcase AI themes and promote new heights of cooperation with ASEAN [1] - The meeting included participation from various leaders and executives from both the Guangxi government and Qi Anxin Group, indicating a strong commitment to collaboration [2]

报告共计：96页 《中国数据安全市场研究报告（2025）》由赛博英杰出品，深入剖析了中国数据安全市场的发展状况，涵盖政策法规、市场规模、行业需求、技术产品以及 供给侧等多个关键领域。 - 政策法规与市场规模：政策法规体系不断完善，从《数据安全法》到《个人信息保护法》等相继出台，数据跨境流动监管升级，各行业法规标准有序推 进，推动数据安全产业稳步成长。在此背景下，数据安全市场规模逆势增长，2024年首次突破百亿，达到118亿元，4年增长近200%，复合增长率30.9%，且 未来3 - 5年有望持续高于网络安全市场规模增长率。 - 行业数据安全建设：不同行业数据安全建设呈现差异。政务行业，数据局领航建设，浙江、广东示范先行，数据安全服务跃居专项首位；金融行业，政策 细化，大型金融机构和中小型金融机构建设现状不同，银行建设增速放缓，保险行业反弹，数据脱敏等专项项目增长明显；运营商行业，工信部推动加强数 据安全基线建设，运营商内部要求高，数据安全管控平台和服务采购体量领先；医疗行业，整体处于初级阶段，三甲医院引领，安全服务采购量持续增长。 - 技术与产品发展：AI、隐私计算等技术在数据安全领域广泛应用。AI+数据分类 ...

Group 1: Core Concept of Blockchain - Blockchain is a distributed database technology that allows participants in a network to maintain a continuously updated digital record system without the need for a centralized authority [6] - The digital records, known as "blocks," are linked in a time-sequential manner to form a "chain," with each block containing a certain amount of verified transaction data [6] Group 2: Technical Principles of Blockchain - Blockchain technology relies on three core components: blockchain network, consensus mechanism, and encryption technology [7] - The blockchain network is a decentralized network where nodes communicate and maintain the state of the blockchain, ensuring all nodes have equal rights and responsibilities [9] - The consensus mechanism ensures data authenticity and consistency by requiring all nodes to agree on transaction records through specific algorithms [9] - Advanced encryption technology is used to secure transactions and privacy, ensuring the identities of transaction parties remain confidential and records are immutable [9] Group 3: Advantages of Blockchain - Decentralization breaks traditional centralized models, reducing the risk of single points of failure [10] - Transparency and immutability ensure that data is publicly accessible and cannot be altered once recorded, enhancing data security and authenticity [10] - Efficiency and security are achieved through consensus mechanisms and encryption, significantly reducing fraud and double-spending risks [10] Group 4: Potential Applications of Blockchain - In financial services, blockchain can enhance efficiency and transparency in payments, settlements, loans, and securities trading [10] - For supply chain management, blockchain ensures transparency and traceability, improving product quality and safety [10] - In the sharing economy, blockchain optimizes operational models, increasing resource utilization efficiency [10] - Governments can leverage blockchain for safer and more transparent public services, such as identity verification and public service payments [10] - Combining with IoT technology, blockchain can secure communications between devices, enabling trusted interoperability of smart devices [10]

Core Viewpoint - The company focuses on national cybersecurity, emphasizing compliance protection and practical confrontation, while integrating AI technology to enhance its capabilities in data security and confidentiality [5][11]. Company Overview - The company aims to ensure national cybersecurity through compliance protection and practical confrontation, developing nine core capabilities in data security and confidentiality [5]. - The main business areas include host and network security, data security, security supervision platforms, inspection and detection, and password applications [7]. Business Development - The company experienced a decline in revenue due to market conditions, with a main business income of approximately 784.26 million yuan, a year-on-year decrease of 14.43% [10]. - The net profit attributable to shareholders was a loss of approximately 125.16 million yuan, but this represented a reduction in losses by 32.82% year-on-year [13]. - The company is focusing on key industries and promoting product trials and market expansion, with expectations for core products to enter a phase of large-scale procurement [11]. Financial Performance - The company has improved its revenue quality, with gross margins for products and integrated projects increasing [11]. - The company has implemented cost control measures, resulting in a year-on-year decrease in operating expenses by 8.60% [13]. Market Position - Established in 2002, the company is a leading provider of cybersecurity and data security products in China, participating in the formulation of national and industry standards [21]. - The company has received multiple awards and recognitions for its contributions to cybersecurity, including being named among the top 50 in various industry rankings [23][29]. Industry Trends - The implementation of national laws and regulations is driving the rapid development of the cybersecurity industry, with significant market potential expected [35]. - The growth of the domestic innovation industry is creating substantial demand for cybersecurity products based on domestic platforms [36]. - Data security is becoming a core focus within the cybersecurity landscape, with increasing emphasis on protecting sensitive information [37].

Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The report emphasizes the integration of digital technology with traditional industries, focusing on the application of large models in various sectors, particularly in smart connected vehicles and intelligent manufacturing equipment [10][13] - It highlights the importance of safety as a prerequisite for new technologies, advocating for a self-controllable AI ecosystem [14][16] - The report outlines the trends of AI model capability enhancement, the deployment of 5G-A and 6G as foundational technologies for large-scale AI applications, and the fusion of AI with traditional industries to drive efficiency and cost reduction [25][31][37] Summary by Sections Government Work Report - The 2025 government work report emphasizes the need to boost domestic demand, integrate digital technology with traditional industries, and promote the empowerment of large models [10] - It outlines key tasks such as fostering emerging industries, enhancing traditional industry upgrades, and stimulating digital economy innovation [12][18] Industry Trends - Trend 1: The enhancement of model capabilities is shifting the industry focus towards applications and edge computing [25][30] - Trend 2: The commercialization of 5G-A and 6G will provide the necessary communication infrastructure for large-scale AI applications [31][34] - Trend 3: The integration of AI with traditional industries is expected to lead to significant cost savings and efficiency improvements [37][47] - Trend 4: The improvement of domestic model capabilities and data security will promote the prosperity of edge hardware [60][63] AI Applications - The report discusses specific applications of AI in sectors such as healthcare, agriculture, and manufacturing, showcasing successful case studies that demonstrate efficiency gains and cost reductions [40][41][51][56] - It highlights the role of AI in enhancing product quality and accelerating innovation in manufacturing, with projections indicating substantial growth in the sector due to AI adoption [54][58]

自上个月国产大模型DeepSeek R1上线以来，就迅速引发了大量的关注和讨论。在上周的文章中，我们着 重探讨了DeepSeek对金融行业的作用。在金融这个数据密集、决策复杂的领域，DeepSeek展现出了令人 瞩目的应用潜力。从年报解读到纪要整理，从数据分析到策略复现等，它将成为金融从业者的得力助手。 不过，我们也认识到，像策略复现、因子挖掘这类问题，其过程本身就相对复杂。DeepSeek 虽然能够生 成相关代码，但却无法在后台对这些代码进行运算检验，也无法获取策略中所需的具体数据。这就意味 着，其生成的代码仅仅只能作为参考，在实际应用于投资决策之前，用户还需要进行严谨的核验和细致的 调 试 。 毕 竟 ， 金 融 市 场 容 不 得 半 点 马 虎 ， 每 一 个 决 策 都 关 乎 着 巨 大 的 利 益 得 失 。 下 图 1 是 FactSet Workstation中关于DeepSeek的资本情况介绍。 图1: 点击图片查看大图 资料来源：FactSet 在本文中，我们将研究DeepSeek公司本身以及其带来的影响。如下图2所示，DeepSeek自今年1月发布新 模型以来，其网上搜索热度飙升，关于 ...

Core Insights - DeepSeek's five core technologies (FlashMLA, DeepEP, DeepGEMM, DualPipe & EPLB, 3FS file system) were showcased during a five-day "Open Source Week," achieving significant global attention [1] - JD Cloud announced full-stack adaptation of these technologies, resulting in a 50% performance improvement in inference scenarios [1][2] Group 1: Technology Enhancements - Flash MLA optimizes GPU memory and computational resources, addressing resource wastage in traditional methods for processing variable-length sequences [1] - The vGPU AI computing platform supports Flash MLA's FP8 format, reducing single Token's KV Cache memory usage by 57 times compared to Multi-head Attention, ensuring high throughput and low latency under high concurrency [1] Group 2: Communication and Performance - JD Cloud's vGPU AI computing platform fully supports distributed inference using the DeepEP communication library, significantly enhancing inference throughput [2] - By integrating DeepEP, JD Cloud utilizes NVLink for intra-machine communication and NVSHMEM for inter-machine communication, improving GPU resource utilization and reducing performance bottlenecks [2] Group 3: Local Deployment and Adaptation - JD Cloud has assisted multiple local governments in deploying DeepSeek based on existing infrastructure, allowing local enterprises to access the service without resource investment [3] - The platform has achieved comprehensive domestic chip adaptation, ensuring self-control from foundational computing to large model applications, including over ten domestic AI computing solutions [2]