Core Insights - The conference highlighted the challenges of AI data security, particularly in the context of large models being vulnerable to attacks that can manipulate their outputs [1][2] - Experts emphasized the need for a new defensive ecosystem that leverages AI to counteract emerging threats, suggesting a shift from traditional passive defense to proactive measures [3][4] Group 1: AI Security Challenges - A significant incident occurred where a large model provided an incorrect answer due to a traditional "crawler" attack, illustrating the vulnerabilities in AI systems [1] - The increasing prevalence of AI in production necessitates robust security governance to ensure safe utilization of data elements [1][2] - Experts warned that using open-source programs for developing proprietary models poses substantial security risks, highlighting the importance of security assessments and compliance checks [2] Group 2: New Defensive Strategies - Experts proposed using models to counteract other models, creating new defensive "agents" that can perceive their environment and execute tasks autonomously [3] - The concept of "deceptive defense" was introduced, which involves using traps and decoys to identify and deter attackers, thus enhancing proactive defense mechanisms [4] - The integration of AI security into a unified protection system is deemed crucial for ensuring the safe transition of various industries towards intelligent transformation [4] Group 3: Collaborative Efforts in Cybersecurity - The need for industry-wide collaboration was emphasized to advance cybersecurity, with a focus on practical applications and original achievements in real-world defense scenarios [5]

Group 1 - The core viewpoint is that Hainan Free Trade Port is poised to become a new high ground for the digital economy, driven by national strategies and collaborative efforts [1][2] - Yingfang Software, a leading company in data replication and disaster recovery, is actively expanding its presence in Hainan, leveraging the region's policy advantages and opportunities in AI, data security, and digital infrastructure [2] - The company has established partnerships with various local institutions, including the Hainan Provincial Department of Agriculture and Hainan Bank, to enhance data security and intelligent operations [2] Group 2 - Yingfang Software plans to focus on three key areas in Hainan: expanding local team construction for better customer service, introducing ecosystem partners for mutual growth, and supporting the development of digital security infrastructure [2] - The company emphasizes the importance of a favorable policy environment for the development of digital infrastructure and data security ecosystems to foster innovation [3]

Core Insights - The 2025 TechWorld Smart Security Conference was held in Beijing, focusing on AI security, data security, and defense strategies in the context of digital transformation [1][3] - The conference aims to facilitate high-quality development in the cybersecurity industry by fostering technological exchange and collaborative innovation [3] Group 1: Industry Trends - The digital economy is evolving from "digital industrialization" to "industrial digitalization," showcasing a deep integration of digital technology with the real economy [3][4] - Effective data governance is crucial for the efficient circulation and safe utilization of data, emphasizing compliance, security, and value transformation [4] Group 2: AI and Security Challenges - AI is becoming a key force in global technological competition, with large models enhancing capabilities in task planning, knowledge reasoning, and intelligent collaboration [4][5] - The emergence of large models has introduced new security challenges, including prompt injection and unsafe model loading, which persist alongside traditional vulnerabilities [4][6] Group 3: Sector-Specific Developments - In the power industry, companies like State Grid and Southern Power Grid are developing industry-specific large models to drive digital and intelligent transformation [5] - AI security must be integrated into a unified protection system, ensuring comprehensive security measures across algorithms, datasets, platforms, and intelligent agents [5][6] Group 4: Security Strategies - The concept of "using models to govern models" is proposed as a strategy to effectively defend against security threats in the AI era [6] - Green Alliance Technology is building a security assessment and protection system focused on content, data, computing power, and business security to strengthen defenses in the AI landscape [6]

Group 1 - The digital economy's data security issues are becoming a focal point in the cybersecurity industry [1] - Green Alliance Technology focuses on AI security, data security, and practical offense and defense, exploring new forms of security capabilities in the intelligent era [1] - The company is enhancing AI security governance and protection capabilities by integrating traditional security products with intelligent capabilities [1] Group 2 - Data governance is crucial for promoting efficient circulation and safe utilization of data, which is a key driver of economic growth [2] - The digital economy is transitioning from "digital industrialization" to "industrial digitalization," showcasing a deep integration of digital technology with the real economy [2] - Data has become a critical asset for enterprises in the face of globalization and intelligence trends [2]

Core Insights - The 2025 TechWorld Smart Security Conference was held in Beijing, focusing on AI security, data security, and offensive-defensive strategies in the context of digitalization and intelligence [1][2] - The conference aims to foster collaboration and innovation in the cybersecurity industry, emphasizing the importance of a systematic and intelligent approach to security [1][2] Group 1: Conference Overview - The TechWorld Smart Security Conference, hosted by Green Alliance Technology for 13 consecutive years, serves as a significant platform for communication in China's cybersecurity industry [1] - The theme of this year's conference is "Dynamic Chess: Intelligent Leap and Boundless Game," reflecting deep insights into the security landscape of the digital intelligence era [1][2] Group 2: Industry Perspectives - Green Alliance Technology is focusing on "data" and "intelligence" as core directions, enhancing innovation and practical applications in AI security and data safety [2] - The company is developing a new ecosystem for AI security, integrating traditional security products with intelligent capabilities for multi-scenario protection [2] - The importance of data governance is highlighted, emphasizing the transition of data from resources to assets and then to capital, which is crucial for the high-quality development of the digital economy [3] Group 3: Technological Innovations - The emergence of large models in AI is driving significant advancements in programming, data analysis, and security protection, while also exposing vulnerabilities such as prompt injection and unsafe model loading [4] - A shift from passive defense to proactive defense strategies is necessary to meet the evolving security demands in complex environments, as indicated by the introduction of software-defined deception defense technologies [4] Group 4: Collaborative Efforts - The conference featured discussions on the need for collaborative efforts across the industry to enhance cybersecurity, with a focus on bridging the gap between technological innovation and practical application [2][6] - The importance of integrating AI security into a unified protection system is emphasized, ensuring that the transition to intelligent systems remains secure and controllable [3][4]

Core Insights - The 2025 TechWorld Smart Security Conference, themed "Dynamic·Digital Intelligence Leap, Boundless Game," was held in Beijing, focusing on AI security, data security, and offense-defense confrontation [1][2] - The conference, hosted by Green Alliance Technology for the thirteenth consecutive year, has become a significant annual exchange platform for China's cybersecurity industry, witnessing the evolution from point protection to systematic and intelligent security [1][2] Group 1: Company Initiatives - Green Alliance Technology emphasizes "data" and "intelligence" as core directions, focusing on AI security, data security, and practical offense-defense strategies, continuously deepening innovation and implementation [3] - The company is building a new ecosystem for AI security, integrating intelligent capabilities into traditional security products, and enhancing AI security governance and protection capabilities [3] - In data security, Green Alliance Technology is developing a comprehensive security system based on the "identification-protection-circulation-governance" framework, ensuring safe and compliant data utilization [3][19] Group 2: Industry Trends - The rapid development of the intelligent economy has made data a key driver of economic growth, with a shift from "digital industrialization" to "industrial digitalization" in China's digital economy [4][6] - AI is becoming a critical force in global technological competition, with the power industry focusing on building secure, trustworthy, and controllable intelligent systems based on industry-specific large models [8] - The emergence of large models in AI is transforming security offense and defense into a new phase of intelligent games, highlighting the need for effective defenses in the AI era [20] Group 3: Conference Highlights - The conference featured various forums discussing the latest innovations and technological breakthroughs in AI security, data security, and practical offense-defense strategies, promoting deep integration and collaborative development in the cybersecurity industry [27][30] - Keynote speakers included experts from various sectors, emphasizing the importance of AI in enhancing cybersecurity capabilities and the need for a comprehensive approach to data governance [28][29] - The event marked a significant evolution in China's cybersecurity landscape, transitioning from academic discussions to a comprehensive industry event that showcases advancements in AI, data security, and practical defense strategies [30]

Core Insights - The company reported a 13.9% year-on-year increase in revenue for the first three quarters of 2025, reaching 410 million yuan, while narrowing its net loss by 77.4% to 10 million yuan [1] - In Q3 alone, revenue decreased by 4.1% year-on-year to 187 million yuan, slightly below market expectations, but net profit increased by 19.1% to 57 million yuan, aligning with market forecasts [1] Business Development Trends - The company is expanding its overseas business and enhancing its AI product offerings, with significant breakthroughs in mobile network products in previously untapped markets during the first half of 2025 [2] - A strategic partnership was established between the subsidiary TINNOWARE and SWG in September 2025, further expanding the AI ecosystem [2] Profitability Recovery - The gross margin for the first three quarters decreased by 1.5 percentage points to 75%, while Q3 gross margin fell by 2.9 percentage points to 81%, showing a positive trend in the latter half of the year [2] - Total operating expenses increased by 5.8% to 370 million yuan, but the expense ratios for sales, management, and R&D decreased [2] Financial Performance - The company significantly reduced its net loss due to increased revenue and enhanced cost control, with operating cash flow for the first three quarters down by 34.6% to 50 million yuan [3] - Inventory turnover days and accounts receivable turnover days improved, indicating enhanced operational efficiency [3] Earnings Forecast and Valuation - The revenue estimate for 2025 was revised down by 7.8% to 727 million yuan, while net profit estimates remain unchanged [4] - The target price is maintained at 35 yuan, reflecting a potential upside of 9.6% based on the current stock price [4]

Core Insights - The company is focused on data security technology innovation and has developed an AI-driven data security management platform called AiDSC [1] - The implementation of new regulations such as the State Council's "Regulations on Government Data Sharing" and the "People's Bank of China Data Security Management Measures" presents opportunities for the company [1] Company Development - Since its establishment, the company has evolved from early data security products like database auditing and firewalls to a comprehensive data security product system [1] - The data security strategy is a core pillar of the company's development, showing robust growth with a nearly 25% increase in contract amounts for data security products in the first half of 2025 [1] Future Outlook - The company plans to continue exploring innovative applications of AI technology in the data security field to provide smarter and more efficient solutions for enterprises [1] - The focus is on supporting enterprises in their digital transformation efforts [1]

南都讯 记者李玲 10月22日，香港个人资料私隐专员公署（简称"PCPD"）发布2024-2025年的年报，明 确重点关注提升人工智能安全、加强数据安全、打击针对个人信息的起底行为、促进大湾区个人信息跨 境流动等问题。 在香港，"起底"行为可被定性为刑事犯罪。2021年，香港修订《个人资料(私隐)条例》，引入针对"起 底"行为的条款，赋予个人资料私隐专员就有关罪行进行刑事调查和检控的权力，同时可要求停止披 露"起底"内容。 据PCPD介绍，过去一年，针对"起底"行为的执法行动成效显著。私隐专员公署主动在网上巡查发现"起 底"个案有65宗，较2022-23年度的841宗大幅下跌92%。与"起底"相关的投诉亦由2022-23年度的676宗下 跌至305宗。 该公署就88宗个案展开刑事调查，共拘捕了21人。在这21人中，他们实施"起底"行为的主要原因包括金 钱纠纷（52%）、人际纠纷（29%）及职场纠纷（14%）。 尽管近年涉及"起底"的个案有持续下跌的趋势，但私隐专员公署表示，打击"起底"行为仍然是公署的重 要工作目标。 这份年报还指出，生成式AI引发了广泛讨论，与AI相关的隐私风险亦与日俱增。2024年6月，私 ...

国家安全部今天发布安全提示，当前，数字化浪潮席卷全球，电子零售新业态蓬勃发展，只需使用手机 线上选物下单，通过人脸识别完成支付验证，就能获得商品送货上门、即买即用等服务，使日常生活更 加高效便捷。 消费者在享受便利的同时，也应提高安全防范意识，提防"数据刺客"暗中窃密的多重手段。 随处可见的自动贩卖机，可通过扫码、"刷脸"等方式购买商品，即买即取、操作简便。 然而，此类设备通常搭载录音录像、生物识别模块，并配置有动态人脸识别、红外成像等技术，能够采 集周边往来人员面部特征和使用者的虹膜纹路等生物识别信息。个别设备开启刷脸功能获取人脸数据 后，还会进一步要求用户提供手机号、性别、出生年月等个人隐私信息，若其后台连接的信息系统存在 安全漏洞，可能被攻击者入侵，进而引发数据泄露风险。 电子零售行业的快速发展让便利生活触手可及，但面对其中潜在的风险隐患，我们应当提高警惕，自觉 筑牢安全防线，悉心守护数据隐私和国家安全。 (责任编辑：王擎宇) 通过App、小程序等渠道，由手机下单将物品配送到指定位置的服务正逐渐流行。然而，部分线上商超 在提供配送服务时，为获取买家的精确配送位置，可能会在配送地图上自动标注出一些敏感区域 ...