Industrial digital intelligence is a key driver for the development of new quality productive forces. With the deep embedding of artificial intelligence into industrial processes, industrial intelligence security governance has taken reliability, data quality and integrated software and hardware governance as its new focus. At present, the corresponding governance means are after-the-fact relief systems, data security systems, and network security systems, which present a significant maladaptation in industrial intelligence governance and are challenging to meet security needs. Industrial intelligence is a typical manifestation of risk society, and realizing its good governance requires the transformation of the existing system based on the principle of a risk prevention. Industrial intelligence reliability assurance should set up preventive obligations based on the warranty liability for defects system and product liability system and transform the difficulty of identifying defects and deficiencies into the judgment of obligation breaches; the data quality governance should focus on the establishment of a sound “national-local-industry” multi-level standard system in order to realize the compatibility of data quality standards among enterprises; integrated software and hardware governance should be empowered by artificial intelligence to prevent risks and effectively improve the effectiveness of hardware and software risk assessment, monitoring and early warning as well as response. Constructing a security risk governance system that is mutually compatible with prevention and response can strongly escort China’s industrial digital intelligence transformation and new industrialization to a stable and far-reaching future.

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