Core Viewpoint - The company plans to raise up to 283 million yuan through a simplified procedure for issuing A-shares to specific investors, aimed at funding quantum-resistant cryptography technology and trusted data space platform development, as well as supplementing working capital [1][2][3]. Group 1: Background and Purpose of the Issuance - The issuance is driven by the increasing importance of information security in China, supported by a robust legal framework including the Cybersecurity Law and Data Security Law, which has led to heightened investments in information security across various sectors [1][2]. - The rise of quantum computing poses significant threats to traditional cryptographic methods, necessitating the development of quantum-resistant algorithms to safeguard sensitive information [1][2][3]. Group 2: Investment Projects and Strategic Alignment - The funds raised will be allocated to projects that align with national policies and the company's strategic goals, focusing on enhancing technical capabilities in data security to meet the urgent needs of government, military, and financial sectors [2][3][4]. - The company aims to leverage its expertise in cryptography to capitalize on the growing demand for data security solutions, thereby improving its market competitiveness and expanding its business scope [3][4]. Group 3: Necessity and Feasibility of the Issuance - The issuance is deemed necessary to support the company's long-term strategic objectives, maintain a healthy capital structure, and reduce financial risks [4][5]. - The choice of issuing A-shares to a limited number of specific investors is compliant with regulatory requirements and is considered an appropriate financing method for the company's current stage [5][6]. Group 4: Financial Impact and Shareholder Considerations - The issuance may lead to a temporary dilution of earnings per share and return on equity due to the increase in total shares outstanding, but it is expected to enhance the company's financial strength and operational scale in the long run [13][14][15]. - The company has committed to measures to mitigate the impact of share dilution on immediate returns for shareholders, including strict management of the raised funds and adherence to regulatory guidelines [21][22][23].

Core Viewpoint - The report details the usage of previously raised funds by Geer Software Co., Ltd. as of June 30, 2025, highlighting the allocation and performance of these funds across various projects [1][10]. Fundraising and Storage Situation - The company raised a total of RMB 643.96 million through the issuance of 20,901,134 A-shares at RMB 30.85 per share, with the funds verified and stored in designated accounts [1][9]. - As of June 30, 2025, the total balance of the raised funds was RMB 636.00 million, with RMB 19.62 million remaining unutilized, accounting for 30.85% of the net raised funds [9][11]. Fund Usage Overview - The funds were allocated to three main projects: "Next Generation Digital Trust Product R&D and Industrialization Project," "Internet of Things Security Technology R&D and Industrialization Project," and "Supplementing Working Capital Project" [1][10]. - The actual investment amounts for the projects varied from the committed amounts, with significant differences noted in the "Internet of Things Security Technology R&D and Industrialization Project" and "Next Generation Digital Trust Product R&D and Industrialization Project" due to changes in technology and project scope [2][11]. Financial Performance and Efficiency - The company reported a total of RMB 50.30 million used from the raised funds, with a remaining balance of RMB 19.62 million as of the reporting date [9][11]. - The company achieved a net interest income of RMB 9.09 million from bank deposits and RMB 54.15 million from financial products, contributing to the overall efficiency of fund usage [9][12]. Project Completion and Future Plans - The "Internet of Things Security Technology R&D and Industrialization Project" and "Next Generation Digital Trust Product R&D and Industrialization Project" are set to conclude by December 2024, with the remaining funds being redirected to new projects and working capital [1][12]. - The company plans to utilize surplus funds from completed projects for new investments and to permanently supplement working capital, ensuring continued operational efficiency [8][10].

Group 1 - Kangaroo Cloud has been selected as one of the Top 10 Best Data Intelligence Software Vendors in China's Xinchuang Industry for 2025, highlighting its significant role in digital transformation and high-quality industrial development [2] - Kangaroo Cloud has achieved full-chain Xinchuang adaptation, covering various components such as databases, operating systems, CPUs, servers, cloud platforms, big data foundations, data integration tools, and data processing tools [2] - The company emphasizes independent research and development, technological innovation, and aims to provide integrated Xinchuang solutions driven by data intelligence and AI technologies [2] Group 2 - All-Knowing Technology's data security monitoring solution, developed in collaboration with China Life Property Insurance, has been recognized as an excellent practice case in the 2025 "Pan'an" initiative [3] - The company's products in the data security field have been included in the "Digital Security Protection Technology Capability Panorama," showcasing its expertise in data security and compliance [3] Group 3 - Taimei Medical Technology has achieved a record of 47 approved projects for its IRC services, with 72 projects submitted for NDA applications and 65 projects passing verification [5] - The IRC team has rapidly grown since the launch of the eImage system in 2017, enhancing its professional capabilities to support innovative drug development in China [5] Group 4 - Hepalink Pharmaceutical has been recognized in the "2025 Sustainable Innovation Case List" for its record-setting licensing transaction [14] - This recognition underscores Hepalink's innovative contributions to the biotechnology sector [14] Group 5 - Xuanwu Cloud has been awarded the "ESG Corporate Governance Excellence Enterprise" award for its outstanding performance in corporate governance [17] - The award emphasizes the company's commitment to compliance, risk management, and a clear governance structure, reflecting its potential for sustainable development [17] Group 6 - Moan Technology has been selected as a technical support unit for network and data security emergencies in Anhui Province, affirming its technical capabilities and emergency response system [19] - The company has also been recognized in the "Digital Security Protection Technology Capability Panorama," showcasing its strengths across multiple security domains [22]

Group 1 - Tencent Technology (Shenzhen) Co., Ltd. applied for a patent titled "Multi-signature Verification Method, Related Device and Medium" with publication number CN120429896A, filed on February 2024 [1] - The patent aims to improve the efficiency of multi-signature implementation and enhance the security of multi-signature verification, applicable in data security, blockchain, data storage, and information technology scenarios [1] - The method involves obtaining multi-signature verification instructions, parsing them to retrieve content to be signed, signatures from multiple nodes, and paths on a multi-signature tree, which indicates the verification keys and collaborative relationships of the signature nodes [1] Group 2 - Tencent Technology (Shenzhen) Co., Ltd. was established in 2000 and is primarily engaged in software and information technology services, with a registered capital of 2 million USD [2] - The company has invested in 15 enterprises, participated in 263 bidding projects, and holds 5,000 trademark and patent information records, along with 527 administrative licenses [2]

一、会用到跨网文件安全交换系统的行业 跨网文件摆渡类解决方案，主要应用于存在网络隔离需求的跨域数据传输场景。通常服务于对核心数据安全有严格保护要求的 行业，通过物理或逻辑层面的网络分区与安全域划分，实现不同网络环境、安全级别或网段之间的受控数据交换。 1、金融行业：诸如银行、保险机构、证券企业等，均面临内部多层级网络环境下的敏感数据交互需求，需在生产系统网络、日 常办公网络、研发测试网络等不同安全隔离区域之间，实现金融核心数据的安全流转与合规共享。 2、集成电路行业：普遍采用多层级网络安全架构，其内部划分的红、黄、蓝、绿等不同安全级别的隔离网络，以及分布在不同 地域的研发中心与生产工厂之间，均存在大量跨区域、跨安全域的文件数据交互需求与业务场景。 3、高新技术企业：出于安全管控需求，内部严格划分了研发网与办公网并实施网络隔离，不可避免地存在将数据在研发网与办 公网之间进行导入导出的业务需求。 4、政府机构：鉴于政务内网与政务外网的安全隔离要求，工作人员在日常开展办公事务时，常常面临将各类办公数据在两个网 络间进行双向传输的需求，这些数据涵盖公民个人信息、统计类资料以及政策相关文件等重要内容。 5、能源电力：在 ...

Core Insights - The 2025 National Smart Medical Insurance Competition has been officially launched, featuring an open model that does not set specific tracks but divides by fields, and for the first time attempts cross-regional integration of medical insurance data [1] Group 1: Medical Insurance Data Utilization - Medical insurance data encompasses critical information such as disease patterns and clinical medication needs, characterized by large volume, broad dimensions, and strong continuity, representing a "data goldmine" [1] - The competition aims to extend the value of medical insurance data beyond reimbursement and fund supervision to broader applications, accelerating the potential for empowering the pharmaceutical industry [1] Group 2: Innovation in Drug Development - The entire lifecycle of innovative drugs includes target screening, clinical trials, and post-market real-world studies, where analyzing vast amounts of treatment and medication data can help identify disease trends and unmet clinical needs [2] - Real-world data can significantly enhance trial efficiency and success rates by assisting in patient recruitment and establishing more reasonable control groups [2] - Post-launch, larger-scale medical insurance data allows for comprehensive evaluations of drug efficacy, safety, and economic viability in real medical environments, providing solid evidence for insurance negotiations and clinical guidelines [2] Group 3: Challenges in Data Integration - The "medical insurance data island" phenomenon needs to be addressed, as vast amounts of healthcare information are fragmented due to technical barriers, institutional obstacles, and security concerns, hindering effective integration and value release [3] - The competition's attempt at cross-regional integration of medical insurance data aims to create a new paradigm for open data utilization, which could pave the way for broader applications [3] Group 4: Data Security and Compliance - Ensuring data security and compliance is fundamental for empowering the industry with medical insurance data, as it involves sensitive personal information [3] - The competition employs technologies such as blockchain, data encryption, and artificial intelligence, ensuring data is anonymized and secure while unlocking its value [4] - Continuous investment in privacy computing and blockchain technologies is necessary to safely utilize data while fostering a skilled workforce proficient in both pharmaceutical and data technologies [4] Group 5: Future Directions - The transition from pilot competitions to comprehensive empowerment of the industry through medical insurance data requires collaborative efforts from government, enterprises, and research institutions, while maintaining strict safety standards [4] - The potential activation effect of safely and efficiently "mining" the medical insurance data goldmine on the pharmaceutical industry is expected to accelerate [4]

Core Insights - Hubei Province's Xiangyang City is conducting a special survey on data security in the industrial sector, focusing on key industries, core enterprises, and critical scenarios to identify risks and enhance data security awareness and capabilities [1] Group 1: Survey Focus - The survey targets industries such as equipment manufacturing and pharmaceutical chemicals, assessing 23 industrial enterprises with annual revenues ranking in the top 10% within their respective counties [1] Group 2: Identified Issues - Several enterprises in Xiangyang have shown weaknesses in data security awareness, inadequate systems, poor access management, delayed classification and grading efforts, and insufficient technical protection measures [1] Group 3: Government Initiatives - The Xiangyang Economic and Information Commission aims to balance development and security, enhance data security capabilities through policy promotion, risk information monitoring, and special actions like "Data Security Protection" [1]

Core Insights - The rapid development and widespread application of biometric recognition technology, such as facial recognition, fingerprint, iris, and gait analysis, bring convenience but also pose significant data leakage risks [1][2][3] Group 1: Biometric Recognition Technology - Facial recognition technology is widely used due to its non-contact and intuitive nature, but improper data storage can lead to privacy breaches and national security threats [1] - Fingerprint recognition is a foundational technology in identity verification, but there have been cases of data breaches due to poor management of connected systems [1] - Iris recognition features high precision and uniqueness, making it a target for malicious actors who may collect this data under false pretenses [2] Group 2: Security Measures and Recommendations - The Chinese government has established various laws and regulations, such as the Data Security Law and the Personal Information Protection Law, to safeguard network data security and biometric applications [3] - Individuals are encouraged to adopt the "minimum necessary" principle when providing biometric information and to inquire about data storage and privacy policies [3] - In sensitive areas, it is recommended to implement multi-dimensional authentication strategies and regularly update biometric information to enhance security [3] Group 3: Public Awareness and Reporting - There is a need for heightened awareness regarding the security of biometric data, and individuals should be cautious when sharing personal biometric information [4] - Citizens are encouraged to report suspicious biometric data collection devices or activities to national security authorities through designated channels [4]

当机器人有能力去完成重复、有危险或有高精度要求的任务之后，部分工作岗位将不可避免地被取代。 李向明预测，失业风险主要发生在人形机器人技术成熟阶段，具体可能出现在10-20年后。他提出的应 对之策是建立专门的社会保障制度，可以考虑向从自动化中收获巨额财富的机器人公司征收专门税收， 作为提供基本保障的资金来源。失业人群可利用这笔收入进行新兴岗位的技能再培训等。 若人形机器人后续进入工作场所和家庭，隐私和伦理等安全风险也将随之而来。部分人形机器人公司目 前已注意到该问题，例如宇树科技创始人王兴兴6月下旬在天津夏季达沃斯论坛上提到一个案例：近期 一位客户采购了宇树科技的机器人去参加活动，不小心把一个小女孩的鞋踩掉了，引发全网关注。虽然 并没踩伤小女孩的脚，但这也是非常大的安全隐患。王兴兴意识到，在近距离跟人交互的场景中，与伦 理道德相关的安全性问题，可能比技术问题更具挑战。 继基础大模型之后，具身智能机器人正成为中美AI竞赛的另一条战线。从事人工智能研究的美国东北 大学教授李向明近期向南都N视频记者表示，美国科技投资的热情高度集中于占领AGI（通用人工智 能）的制高点，这恰恰给了中国极好的时机，去打造低成本、高性能的 ...

近日，一位开发者在GitHub上公开警告，字节跳动旗下AI编程环境Trae IDE存在未经用户明确知情便上传数据至字节服务器的行为，即便用户已手动关闭设 置中的遥测（Telemetry）功能。 根据该开发者的测试报告，Trae在后台持续高频传输数据，7分钟内发起约500次网络请求，累计上传26MB数据至字节跳动控制的域名。数据内容可能涉及 用户设备硬件配置、操作系统信息、使用习惯、唯一标识符、项目路径，甚至键鼠操作等敏感数据。 报告还指出Trae IDE具备"后门能力"，可在用户不知情或无需手动更新时，远程启用或关闭特定功能，动态更改IDE行为逻辑。 测试显示，Trae的内存使用量是VS Code的5倍以上，进程数量也处于异常水平。网络抓包表明，Trae会定期回传硬件信息、系统版本、使用时长、会话状 态、资源使用率、模糊处理后的文件路径等数据，且关闭遥测功能后仍持续上传。 对此，字节跳动回应称，为持续优化产品体验，Trae与业内通行做法类似，采集部分非敏感的统计数据和性能指标，如页面点击、功能使用频率等，不涉及 用户个人身份或隐私信息，所有数据使用严格限定于产品性能分析与功能优化，并遵循相关地区数据保护法规。 ...