人民财讯1月6日电，近日，经IEEE SA(电气和电子工程师协会标准协会)审核批准，由中国信息通信研 究院(简称"中国信通院")牵头推动的数字信任标准委员会(C/DTSC，Digital Trust Standards Committee)正 式成立，隶属于IEEE SA计算机协会。中国信通院人工智能研究所创新发展部主任张奕卉担任委员会主 席，云计算与大数据研究所大数据与智能化部承担秘书处工作，标志着我国在全球数字信任领域标准化 工作中占据重要话语权，将进一步推动数字信任技术与应用的国际协同发展。 ...

数字时代全球贸易和金融体系正面临历史性十字路口，同时也迎来打破传统壁垒的重大机遇。以数据为 核心生产要素的数字革命正在深刻重塑全球产业链、价值链、供应链以及与之血脉相连的金融体系。跨 境数据流动不仅成为驱动国际贸易增长的"新石油"，也构成了现代金融体系高效、透明运转的生命线。 据世界贸易组织《2022年世界贸易报告》预测，至2030年数字技术将推动全球贸易增长超过30%，其中 数据流动的贡献将占三分之一。然而，全球数字贸易与金融所共同依赖的基础设施，却长期被一种技 术"铁幕"所笼罩——即建立在中心化信任模型及传统公钥技术上的基础设施与应用系统体系。这套体系 在效率、透明度与包容性上的局限日益凸显，不仅引发了深刻的信任危机与范式挑战，更在贸易与金融 两大体系间形成了制约创新与畅通的共振效应。 支撑当今全球数字经济的传统信任体系—中心化PKI公钥基础设施—正日益显露出其结构性缺陷。PKI 体系诞生于20世纪70年代，其核心是围绕CA（第三方认证机构）构建的中心化信任模型。该体系在过 去几十年为互联网商务提供了基础安全框架，但其"中心化信任"本质，在万物互联迈向万物互易的数字 时代，逐渐演变为制约全球数字贸易自由发 ...

数字经济时代，加快锻造新质生产力，离不开新质技术突破与新质生态构建。近日，在"2026中国信通 院深度观察报告会——数据智能产业创新发展专题报告会"上，"'星火'TA生态：'星火标识×'生态合作 产品授权计划（数据方向）"正式发布，为"星火"TA 生态规模化落地推进迈出坚实一步。 "星火"TA 生态：深耕七大领域、六大方向！ "星火"生态的核心理念是从过去工业经济的大规模生产单边到互联网平台的双边关系，走向数字经济多 边的网络化关系。该生态致力于构建多方、多维度、价值连接的生态圈，秉持开放、绿色、多元共生理 念，以"信任与智能"为发展主题和运行机制，推动生态内外协同共生，助力产业实现数字化、网络化、 智能化、绿色化发展。 星火，是新技术、新基建；星火，是新生态、新质生产力。在人工智能加速重塑数字生产关系的今天， 数字信任正为智能化协作网络提供可能。为此，中国信通院发起"星火"TA生态。"T"代表"Trust"（信 任），是生态共同体连接的基础，意味着生态管理机制从尽力而为转向可信任的价值交换；"A"代 表"AI"（人工智能），是推动星火生态变革的新质生产力，也指向星火生态将实现的智能化治理水 平。"TA"立足 ...

一、 业绩说明会召开情况 公司于2025年12月9日披露了《格尔软件股份有限公司关于召开2025年第三季度业绩说明会的公告》 （公告编号：2025-088）。2025年12月16日，公司董事长孔令钢先生、董事兼总经理叶枫先生、董事会 秘书蔡冠华先生、财务总监邹瑛女士、独立董事俞纪明先生出席了本次说明会，与投资者进行互动交流 和沟通，就投资者关注的问题进行了回复。 证券代码：603232 证券简称：格尔软件 公告编号：2025-090 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述或者重大遗漏，并对其内容 的真实性、准确性和完整性承担法律责任。 格尔软件股份有限公司（以下简称"公司"）于2025年12月16日下午15：00-16:00在上海证券交易所上证 路演中心（http://roadshow.sseinfo.com/）通过网络互动召开了2025年第三季度业绩说明会，现将召开情 况公告如下： 二、 投资者提出的主要问题及公司回复情况 公司对投资者在本次说明会上提出的普遍关注的问题给予了回复。现将本次业绩说明会中投资者提出的 主要问题及回复整理如下： 1. 格尔软件的股价一直下跌，大概会跌到 ...

Core Insights - Deep Data Science Group celebrates its ninth anniversary by showcasing significant technological innovations, including the establishment of the first national industry model in the bill and supply chain sectors, and the launch of enterprise-level AI Agents, marking a transition from "tool empowerment" to "intelligent collaboration" [1][5] Group 1: Company Background and Development - Deep Data Science Group was founded nine years ago in Linyi, a major hub for small bills and a vibrant economic landscape for small and micro businesses [3] - The company aims to transform every genuine bill into a credit for enterprises, addressing the challenges faced by small businesses in accessing financing due to their small-scale and fragmented nature [4] Group 2: Technological Innovations - The core breakthrough is the creation of the first industry model in the bill and supply chain sectors, integrating millions of real business scenarios and complex risk control logic into AI [5] - The introduction of enterprise-level AI Agents serves as dedicated "digital credit partners," enabling real-time credible due diligence, intelligent contract verification, and dynamic risk assessment [5] Group 3: Future Directions - The company plans to focus on three main areas: simplifying trust through AI, making financing more inclusive by converting real operations into credit assets, and enhancing trade efficiency through the "China Grand Market" initiative [5][6] - Deep Data Science Group aims to deepen the integration of AI and data technology, continuously upgrading its industry model and AI Agents to promote the application of digital trust technology across various industrial scenarios [6]

深入分析伊对平台的安全体系，我们会发现，其创新性体现在"技术防控+社会共治"的双轮驱动模式。 在技术层面，平台建立了7×24小时全天候监测机制，通过人工智能技术和专业审核团队的协同配合， 实现对平台内容的实时监控与风险预警。更具创新性的是平台每月定期发布的《净网月报》，这一举措 不仅展现了平台运营的透明度，更通过动态更新诈骗话术库、分析新型风险趋势，使安全防护体系具备 了持续进化的能力。 不仅如此，米连科技在信任建设方面的突破性实践，当属与全国各级公安部门建立警企协作绿色通道。 这一创新举措打破了传统警企协作的界限，将监管力量直接引入平台运营一线，实现了警情联动、快速 处置的高效对接。截至目前，平台已与全国多地公安机关建立合作，形成了从线索发现到联合打击的高 效协作。这种模式，不仅提升了平台自身的安全防护能力，更重要的是构建了开放、透明的平台治理新 范式。 在数字化浪潮席卷各行各业的今天，信任已成为最珍贵也最稀缺的社会资源。特别是在情感社交这一深 度涉及个人隐私与情感的领域，如何构建安全可信的数字环境，正成为行业可持续发展的关键命题。米 连科技以其前瞻性的视野和系统化的实践，在这场信任建设中走在了行业前列，通 ...

Core Insights - The increasing demand for credible digital identity and data asset certification is driven by the global digital transformation wave [1] - Companies are seeking reliable certification services to enhance trust in supply chain collaborations, data asset transactions, and AI applications [1] Professional Certification Services - The evaluation of a certification service provider should focus on its technological foundation, service logic, and compliance value rather than just brand history [3] - Key characteristics of professional certification services include advanced technology and autonomy, deep alignment with service needs, rigorous verification processes with legal backing, and clear industry value with application scenarios [3] Focus on Professional Services - The SINOCHECK Certification Center (SCCE) exemplifies a professional service provider that addresses the essential elements of certification [5] Core Services of SCCE - SCCE offers two main services: digital evidence and data verification, utilizing proprietary blockchain technology to ensure data integrity and provide a reliable basis for transactions and intellectual property protection [6] - The trusted identity certification service combines credit verification and identity validation, generating a traceable digital trust certificate (SCCE mark) that is crucial for companies in AI, platform economy, and digital trade [6] Choosing a Professional Certification Institution - Companies seeking certification services should prioritize institutions with core technologies, particularly those with blockchain capabilities, to ensure long-term security [7] - It is essential to assess the depth of services offered, the compliance background of the institution, and the relevance of their solutions to specific business needs [7] Conclusion - Professional certification service providers that integrate cutting-edge technology, rigorous verification, and industry insights can empower companies in their digital trust development [8] - Companies should carefully evaluate potential certification partners based on technology, processes, and value to build a competitive advantage in a complex market environment [8]

Core Insights - e签宝 has transformed from an electronic signature tool to a comprehensive digital trust infrastructure provider, achieving significant recognition in the AI field with multiple awards and certifications [1][2][11] - The company’s AI capabilities have led to a substantial increase in commercial revenue, with the contract large model generating over 74 million yuan in 2024, reflecting a growth rate exceeding 100% year-on-year [2][8] - e签宝 aims to evolve its AI from a supportive role to a collaborative one, enhancing the entire contract lifecycle management process [4][11] Company Evolution - Founded in 2002, e签宝 launched China's first electronic seal software, marking its entry into the digital trust sector [2] - The company transitioned from a software supplier to a service provider with the launch of its electronic signature SaaS platform in 2014 [2] - In 2019, e签宝 initiated its "AI+ strategy," laying the groundwork for future technological advancements [2] AI Development and Implementation - The period from 2023 to 2025 is identified as a critical phase for e签宝's AI capabilities, with the release of the first industry contract large model in 2023 [2][4] - The AI technology has been commercialized effectively, with significant revenue growth and the introduction of an intelligent contract agent that enhances contract management [2][8] - e签宝's AI solutions have demonstrated efficiency improvements, reducing contract review times by 60%-80% and achieving high accuracy in information recognition [8][10] Data and Model Infrastructure - e签宝 has built a robust data foundation with millions of real contract data, enabling the development of high-quality contract datasets [4][5] - The company employs a specialized model architecture tailored for contract scenarios, achieving significant improvements in accuracy for various tasks [5][7] - A dedicated Benchmark evaluation system ensures the stability and reliability of AI models through continuous testing and optimization [7] Market Penetration and User Base - By 2025, e签宝 has served over 600 million users and 630,000 paying customers, with a daily signing volume exceeding 30 million [8][10] - The company has achieved comprehensive coverage across various sectors, including government and small to medium enterprises, facilitating a seamless transition to full lifecycle contract management [10][11] Commitment to Standards and Accessibility - e签宝 emphasizes "AI for all" and "technology for good," aiming to reduce the cost of contract management for small and medium enterprises [11][13] - The company actively participates in the establishment of industry standards, promoting the regulated development of the electronic signature sector [11][13] - e签宝's strategy focuses on self-developed models to ensure precision and security, avoiding reliance on external technologies [13]

Group 1 - The 2025 Digital Trust Ecosystem Cooperation Conference was held in Shanghai to deepen the construction of the digital trust ecosystem and promote the integration of cutting-edge technologies such as blockchain and artificial intelligence [1][2] - The Chinese Communications Standards Association emphasizes the importance of building a digital trust system supported by digital identity, blockchain, and privacy protection technologies for ensuring data security and promoting the orderly development of the data factor market [1][3] - The China Academy of Information and Communications Technology (CAICT) highlights the urgency of constructing an industry ecosystem centered on "trust" as the scale of the digital industry continues to expand [2][3] Group 2 - Digital trust is defined as the organic integration of interpersonal, institutional, and technological trust, which differs from a focus on counteracting digital security threats [3] - The CAICT has implemented various initiatives, including the Digital Trust Technology Standards Promotion Committee and the Trusted Blockchain Promotion Plan, to support the development of digital trust infrastructure and standards [2][3] - The thirteenth batch of "Trusted Blockchain Testing and Evaluation" certificates was awarded to several companies, indicating the growing recognition and implementation of digital trust concepts in the industry [3]

Core Insights - The 2025 Digital Trust Ecosystem Cooperation Conference was held in Shanghai, focusing on the theme "Building Trust through Intelligent Chains" [1] - The construction of a digital trust system supported by technologies such as digital identity, blockchain, and privacy protection is crucial for ensuring secure data circulation and promoting the orderly development of the data factor market [1][2] - Digital trust is seen as a key support for accelerating data flow and enhancing cross-domain collaboration, integrating technologies like blockchain and digital identity [2] Group 1 - The China Communications Standards Association has initiated extensive research to promote technological innovation and industry cooperation through standardization efforts [1] - The China Academy of Information and Communications Technology (CAICT) emphasizes the urgency of building a trust-centered industrial ecosystem as the digital industry continues to expand [2] - The CAICT has released the "Digital Trust Development Report" and is working on infrastructure construction and trusted blockchain evaluation services [2] Group 2 - The CAICT's Cloud Computing and Big Data Research Institute released the "Digital Trust Industry Panorama (2025)," outlining the industrial ecosystem of key technologies like blockchain and digital identity [3] - The CAICT is committed to deepening strategic cooperation with the Xuhui District and collaborating with various industry players to build an open and collaborative digital trust ecosystem [2] - The concept of digital trust is gaining recognition both domestically and internationally, with significant advancements in technologies such as quantum cryptography and privacy enhancement [2]