【环球网科技报道 记者 李文瑶】在人工智能浪潮席卷千行百业、算力网络加速构建的今天，数据要素已成为驱动数字经济的核心引擎。然而，数据在跨域 流通、协同计算过程中如何实现"可用不可见""可控可计量"，始终是横亘在规模化应用前的安全天堑。传统的"补丁式"安全防护，在复杂的跨主体、高价值 数据协作场景中愈发显得力不从心。 "通过'立体密算体系'，我们已经看到了三大转变正在发生，我们的安全体系由以人为本转变为技术为纲，由单点防御转变为体系化的防御，由经验驱动的 被动防御转变为理论闭环的主动防御机制。"曙光云副总裁孙会首在接受记者采访时如是说。这背后，是曙光云联合多家顶尖科研机构与行业伙伴，发布"立 体密算体系"，旨在打造可信智能世界的新基础设施。 从 " 被动补丁 " 到 " 主动免疫 " ：安全范式的根本性跃迁 当前，数据安全领域充斥着各类概念：隐私计算、机密计算、可信计算……它们之间究竟有何区别？为何需要提出"立体密算"这一新体系？ "立体密算与当前主流机密计算的核心区别，在于从单点技术架构到体系性内生安全的范式跃迁。"曙光云总裁助理李明达指出，"主流机密计算核心在于依 托CPU硬件在不可信的环境中创建一个孤立的 ...

Core Viewpoint - The "Three-Dimensional Secret Computing System" integrates domestic chips, national encryption algorithms, and trusted computing to create an endogenous security protection framework that covers the entire link of computing power, data, and AI, reducing performance loss to less than one-third of traditional solutions [1][2]. Group 1: Technological Breakthroughs - The system represents a paradigm shift from "point defense" to "systematic endogenous security," addressing the limitations of traditional security solutions [2]. - It combines domestic chips, national encryption algorithms, and trusted computing 3.0 to create a comprehensive security space that protects every stage of data processing [2]. - The system's architecture includes five layers, from computing and encryption capabilities to trusted AI computing, ensuring full trust from hardware to cloud platforms [2]. Group 2: Cost and Efficiency - The CPU endogenous security technology is promoted at no cost, addressing the issue of high expenses [3]. - The distributed encryption resource pool technology enhances efficiency by allowing local CPU encryption, reducing network latency and avoiding plaintext transmission risks [3]. - The system achieves performance loss reduction to less than one-third compared to traditional encryption solutions, alleviating the pressure of security investments on business performance [2][3]. Group 3: Industry Applications - The system is initially applied within the company's 50 cloud computing centers, which support critical government and large enterprise operations [4]. - It has been deployed in sensitive sectors such as transportation, public security, and finance, with plans for broader applications [4]. - In transportation, the system has been implemented in a smart highway project, enhancing data security and traffic efficiency [4]. Group 4: Cross-Domain Challenges - The system addresses cross-entity identity authentication challenges in the transportation sector, ensuring active certification and identity unification for cross-platform data sharing [5]. - In public security and finance, it tackles the security issues of cross-regional data transmission, significantly improving safety and efficiency [5]. Group 5: Ecosystem Collaboration - The company aims to build an open collaborative ecosystem to promote the large-scale adoption of the Three-Dimensional Secret Computing System [6]. - It positions itself as a "security operating system" within the AI open architecture, enabling seamless integration with mainstream AI frameworks [6]. - The company plans to collaborate with research institutions to establish industry standards, addressing the fragmentation and compatibility issues of current security technologies [7]. Group 6: Future Outlook - The company will focus on deepening the application of the system in smart highways, smart road networks, and other sectors from 2024 to 2026 [5]. - The integration of security capabilities into practical productivity is emphasized, with the system likened to a "highway" for trust in the digital economy [8].

据悉，该体系基于国产C86处理器与可信计算3.0架构，通过融合芯片密码能力与可信执行环 境，实现全流程密码防护，形成系统级的"主动免疫"安全能力。 曙光云将于11月26日正式发布"立体密算体系"，该体系聚焦于人工智能时代面临的三大核心安全挑 战：大规模算力基础设施的安全保障、大模型全流程保护以及大数据密态流通。 在实际应用中，该技术已在多个关键行业实现规模化部署。数据显示，其加密处理效率显著提 升，机密计算任务执行延迟明显降低，整体安全运行效率平均提升约50%，在部分场景中威 胁识别准确率亦有数倍提升。 ...