本次活动由天津市宝坻区人民政府主办，围绕加强京津冀与粤港澳大湾区协同联动，推动京津冀与粤港 澳大湾区产业链创新链对接合作，汇聚各方优势资源，激发产业创新活力，携手开创跨区域协同高质量 发展新篇章。 活动现场，已落户宝坻的大湾区企业家代表中冶迈克董事长朱跃龙，深圳无人机协会副会长、总工程师 杨漾，华为公司政务一网通军团副总裁傅海波分别围绕宝坻区产业优势、营商环境、无人机、AI智 算、大数据、智能体等主题进行分享；京津中关村科技城管委会副主任韩帅围绕京津中关村科技城智能 网联车、低空经济领域作了现场推介，发布了一批产业园区和重要项目招商信息，释放了京津冀与粤港 澳大湾区协同联动发展、共同培育发展新质生产力的强烈信号。 项目签约环节，宝坻区与粤港澳大湾区有关企业和机构围绕生物医药、新能源新材料、互联网大数据、 高端装备制造等领域达成合作，签约优质产业项目20个，计划总投资额40.05亿元，区内企业与粤港澳 区域上下游企业达成14.92亿元的供应链订单合作。此外，宝坻区委常委、区委组织部部长张静华为"粤 港澳大湾区宝坻联络处"揭牌并为受聘的6位宝坻招商顾问颁发聘书。 香港贸发局大湾区及华中首席代表曾沂靖、深圳市天津商 ...

Core Viewpoint - The article emphasizes the critical importance of corporate compliance, highlighting 20 typical cases released by the Supreme People's Procuratorate, which include issues such as fraudulent VAT invoicing, data compliance, collusion in bidding, and financial fraud [1]. Summary by Relevant Sections Typical Cases - Case 1: Environmental pollution by Zhangjiagang L Company and Zhang [3] - Case 2: Fraudulent VAT invoicing by Shanghai A Company and B Company [3] - Case 4: Collusion in bidding among construction companies in Xintai [3] - Case 5: Trademark infringement by Shanghai J Company [3] - Case 6: Sale of counterfeit goods by Zhangjiagang S Company [3] - Case 7: Collusion in bidding by Y Company in Yinan County [3] - Case 8: Major safety incident involving Z Company in Suizhou [4] - Case 9: Smuggling by Shenzhen X Company [4] - Case 10: Concealment of criminal proceeds by S Company in Wenchang [4] - Case 11: Illegal acquisition of computer information by Shanghai Z Company [6] Compliance and Rectification Measures - The article discusses the involvement of the procuratorial organs in guiding enterprises to enhance compliance, particularly in the context of data compliance and the establishment of third-party supervision mechanisms [6][12]. - Shanghai Z Company, involved in illegal data acquisition, demonstrated a strong willingness to rectify compliance issues, leading to a decision of non-prosecution after compensation to the affected party [10][14]. - The establishment of a data compliance committee and the implementation of a data security management system were highlighted as key steps taken by Z Company to address compliance risks [15]. Data Compliance Framework - The article outlines a structured approach to data compliance, including data classification, risk monitoring, and the establishment of a data security management system [17][19]. - It emphasizes the importance of regular data audits and the creation of a comprehensive data inventory to ensure compliance with industry standards [20][27].

Core Viewpoint - The article discusses the "Guidelines for Data Security Compliance in the Industrial and Information Technology Sector" released by the Ministry of Industry and Information Technology, which provides practical guidance for data processors to conduct comprehensive, accurate, and standardized data security compliance management, enhancing the data protection capabilities of enterprises [1]. Group 1: Overview of Data Security Compliance - The purpose of data security compliance construction is to ensure the protection of data throughout its lifecycle [4.1]. - The guidelines provide a basis for compliance and are applicable to various sectors within the industrial and information technology fields [4.3][4.4]. - Key terms and definitions related to data security compliance are outlined to facilitate understanding [4.4]. Group 2: Data Classification and Management - Data classification involves conducting regular surveys to assess the current state of data security management and identify weak points [6]. - A comprehensive data inventory must be maintained annually, detailing data types, levels, scales, processing methods, storage locations, and usage [7]. - Data is categorized based on industry requirements, business needs, and data sources, with specific classification rules established for different sectors [8][9]. Group 3: Data Lifecycle Protection - The guidelines emphasize the importance of protecting data throughout its lifecycle, including collection, storage, usage, transmission, provision, and destruction [4.1][4.2][4.3][4.4][4.5][4.6][4.7]. - A structured approach to data management is recommended, including the establishment of a data security management system and regular updates to data directories [4.8][4.9]. Group 4: Risk Monitoring and Emergency Response - The guidelines outline procedures for monitoring and reporting data security risks, as well as emergency response measures for data security incidents [5.1][5.2][5.3][6.1][6.2]. - Organizations are encouraged to develop emergency plans and conduct drills to ensure preparedness for potential data security events [6.3][6.4]. Group 5: Data Export and Transaction Management - Compliance requirements for data export, including safety assessments and contractual obligations, are detailed to ensure adherence to regulations [8.1][8.2]. - Guidelines for data transactions are provided to facilitate secure and compliant data exchanges [9].