Zheng Rong, Gao Zhihao, Wang Xiaoyu, Wang Shengwen, Wei Mingzhu
[Purpose/significance] In the era of comprehensive digital transformation and value release of data ele⁃
ments, data security governance has become extremely important. Therefore, focusing on the issue of industrial data se⁃
curity governance in complex information environments and exploring and proposing a complete industrial data securi⁃
ty governance system framework will help to reduce the risks of industrial data throughout the supply, circulation, and
use processes, and promote the effective release of industrial data value and the implementation of industrial digitiza⁃
tion. [Method/process] On the basis of literature research and comparative analysis, this article defines the connota⁃
tion of industrial data security governance in complex information environments, uses blockchain, privacy computing,
and data lake technology to build a underlying technical architecture, proposes administrative measures for security
governance of industrial data supply, circulation, and usage ends, and constructs a framework for industrial data securi⁃
ty governance system with "core elements technical architecture administrative measures" as the core. [Result/conclu⁃
sion] This article systematically proposes industrial data security governance issues, governance methods, and system
architecture in complex information environments. Taking the artificial intelligence industry as an example, while veri⁃
fying the feasibility of the governance system framework, it also elaborates on the operational process and guarantee
strategies of the industrial data security governance system, providing guidance for effectively solving data security is⁃
sues throughout the entire process of industrial data elements in complex information environments.