[目的/意义]在全面推进数字化转型和数据要素价值释放的时代背景下，数据安全治理变得极为重要，因
此，聚焦复杂信息环境下的产业数据安全治理问题，探索并提出完整的产业数据安全治理体系框架，有助于降低
产业数据在供给、流通和使用全过程中的风险，推动产业数据价值有效释放和产业数字化实施进程。[方法/过程]
文章在文献调研和比较分析的基础上，界定了复杂信息环境下产业数据安全治理的内涵，利用区块链、隐私计算
和数据湖技术搭建底层技术架构，提出产业数据供给端、流通端和使用端安全治理的行政手段，并构建以“核心要
素-技术架构-行政手段”为核心的产业数据安全治理体系框架。[结果/结论]文章系统性地提出了复杂信息环境
下的产业数据安全治理问题、治理方法以及体系架构，以人工智能产业为例，在验证该治理体系框架可行性的同
时，具体阐释了该产业数据安全治理体系运行流程及保障策略，为有效解决复杂信息环境下产业数据要素全过程
中的数据安全问题提供指导。
[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.
