Based on empirical research on training webinars, interviews, and promotional material from Vigilant Solutions, this paper investigates the surveillance regime enabled by platform policing: the implementation of cloud-based platforms, designed and run by private corporations, that provide mass surveillance-driven simulations for a range of police operations, including predictive policing, targeted surveillance, and tactical and strategic governance. Building on Amoore’s (2016) work on “cloud geographies,” this paper argues that the platform model embodied by Vigilant Solutions involves multivalent processes of deand reterritorialization in which new technological and datalogical spaces are formed and these erode older societal boundaries of private, public, and state. Specifically, Vigilant Solutions leverages its multi-sided platform business model through the deterritorializing, cloud-based concatenations of surveillant technologies. It then argues that the resultant reterritorialized cloud space, which is accessible through its Vigilant Investigative Centre (VIC) platform, fuses mass surveillance data from diverse private, public, and state sources in a simulated geography. Further, the VIC furnishes to law enforcement an array of data analytics that exploits this cloud geography to enable a boundary-crossing surveillance regime of association analysis and proximal suspicion.

中文翻译：

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监视资本主义和平台监管：监视组合即服务

基于对来自Vigilant Solutions的培训网络研讨会，访谈和促销材料的实证研究，本文研究了平台监管支持的监控机制：由私有公司设计和运行的基于云的平台的实施，该平台提供了大规模监控驱动的模拟适用于一系列警察行动，包括预测性警务，有针对性的监视以及战术和战略治理。本文基于Amoore（2016）关于“云地理”的研究，认为Vigilant Solutions所体现的平台模型涉及去矿化的多价过程，其中形成了新的技术和数据空间，并且这些空间侵蚀了私人，公共，企业，和状态。特别，Vigilant Solutions通过对监控技术进行基于云的区分化来利用其多平台业务模型。然后，它辩称，通过其警戒调查中心（VIC）平台可访问的由此形成的域化云空间将来自不同私人，公共和州来源的大规模监视数据融合到了模拟地理区域中。此外，VIC向执法部门提供了一系列数据分析，这些数据分析利用了这种云的地理环境，从而实现了关联分析和近端怀疑的跨界监视机制。在模拟地理区域中融合来自不同私人，公共和州来源的大规模监视数据。此外，VIC向执法部门提供了一系列数据分析，这些数据分析利用了这种云的地理环境，从而实现了关联分析和近端怀疑的跨界监视机制。在模拟地理区域中融合来自不同私人，公共和州来源的大规模监视数据。此外，VIC向执法部门提供了一系列数据分析，这些数据分析利用了这种云的地理环境，从而实现了关联分析和近端怀疑的跨界监视机制。