Journal of Information Security Reserach ›› 2024, Vol. 10 ›› Issue (2): 109-.

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Research on the Security Architecture of Artificial Intelligence  Computing Infrastructure

Liu Yongdong, Zhang Yao, and Wang Miao#br#

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  1. (China Industrial Control System Cyber Emergency Response Team, Beijing 100040)

  • Online:2024-02-21 Published:2024-02-26

人工智能算力基础设施安全体系架构研究

刘永东张瑶王淼   

  1. (国家工业信息安全发展研究中心北京100040)
  • 通讯作者: 王淼 博士,工程师.主要研究方向为人工智能产业发展、战略规划与安全治理. wangmiaonsd@163.com
  • 作者简介:刘永东 硕士,高级工程师.主要研究方向为人工智能技术创新、产业发展、产业政策与安全治理. liuyongdong@cicscert.org.cn 张瑶 硕士,工程师.主要研究方向为人工智能产业发展、政策规划及安全伦理. zhangyao@cicscert.org.cn 王淼 博士,工程师.主要研究方向为人工智能产业发展、战略规划与安全治理. wangmiaonsd@163.com

Abstract: The artificial intelligence computing infrastructure is a crucial foundation for the development of artificial intelligence. However, due to its diverse attributes, complex nodes, large number of users, and vulnerability of artificial intelligence itself, the construction and operation of artificial intelligence computing infrastructure face severe security challenges. This article analyzes the connotation and security development background of artificial intelligence computing infrastructure, proposes a security architecture for artificial intelligence computing infrastructure from three aspects: strengthening its own security, ensuring operational security, and facilitating security compliance. It puts forward development suggestions aiming to provide methodological ideas for the security construction of artificial intelligence computing infrastructure, offer a basis for selection and use of safe artificial intelligence computing infrastructure, and provide decisionmaking reference for the healthy and sustainable development of the artificial intelligence industry.

Key words: artificial intelligence, artificial intelligence computing power, artificial intelligence infrastructure, artificial intelligence security, security architecture

摘要: 人工智能算力基础设施是人工智能发展的重要基石,但由于其属性多样、节点复杂、用户数量多以及人工智能自身脆弱性等特性,使得人工智能算力基础设施在建设和运营过程中面临着严峻的安全挑战.分析了人工智能算力基础设施的内涵和安全发展的背景形势,从强化自身安全、保障运行安全、助力安全合规3方面提出了人工智能算力基础设施安全体系架构及发展建议,旨在为人工智能算力基础设施安全建设提供方法和思路,为选择使用安全的人工智能算力基础设施提供判别依据,为人工智能产业健康、持续发展提供决策参考.

关键词: 人工智能, 人工智能算力, 人工智能基础设施, 人工智能安全, 安全体系架构

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