Zhong Jin Zai Xian·2025-06-27 08:51Core Viewpoint - The China Academy of Information and Communications Technology (CAICT) announced the results of the "Trusted Data Circulation Assessment Test," where JD Cloud's Trusted Data Space Service Platform successfully passed the evaluation, highlighting its leading position in the industry for trusted data space platform construction [1][2]. Group 1: Trusted Data Space Platform Features - The platform has a comprehensive trusted space technology architecture that effectively collaborates with access connectors to build the infrastructure for data circulation, supporting regional/industry functional node adaptation and cross-domain trusted data circulation [2]. - It offers efficient trusted computing performance, achieving full-process coverage from data access to computing inference, capable of elastic support for trusted computing at a scale of hundreds of billions of data [2]. - The platform provides multi-scenario integrated data services, ensuring secure circulation and trusted computing of cross-scenario and cross-source data under a "visible but not seen" security paradigm [2]. Group 2: Industry Context and Future Directions - With the rapid development of large models and other technologies, the role of data in enterprise operations, technological innovation, and decision-making is increasingly prominent, necessitating solutions for data resource sharing and privacy protection [1]. - JD Cloud aims to continue deepening its technological advancements in the trusted data space sector, promoting an open and collaborative ecosystem to enhance performance and cost-effectiveness, thereby assisting more enterprises in reshaping AI productivity [2].