Transformation of the security thinking paradigm in the era of algorithmic governance of society

Abstract

The digitalization of social processes entails profound changes in the ways security is constructed and in the mechanisms of social regulation. The integration of large-scale data sets, artificial intelligence systems, and predictive analytics transforms traditional understandings of threat, control, and responsibility. Under these conditions, security thinking acquires new features associated with the shift from reactive response to anticipatory management of behavioral models. This, in turn, necessitates a conceptual rethinking of the paradigmatic foundations of security organization.

The оbjective of the study is to provide a theoretical substantiation of the transformation of security thinking under the influence of algorithmic governance of society and to model a new architecture of interaction between security, freedom, and control.

Methods. The research methodology includes systemic analysis, a structural-functional approach, comparative reconstruction of the evolution of security paradigms, and modeling of algorithmic governance processes based on the conceptualization of digital surveillance and predictive analytics.

Results. The findings demonstrate a shift in the subjectivity of security from institutional actors to algorithmic systems that perform the functions of collecting, analyzing, and forecasting behavioral risks. It has been established that the object of regulation increasingly shifts from actual events to probable trajectories of individual and group behavior. The study proposes a comparative table of the evolution of security paradigms, a structural model of algorithmic governance of society, and a matrix of transformation of the balance between security, freedom, and control. It is argued that the emerging configuration of governance is characterized by preventiveness, cyclicality, and the integration of digital tools into decision-making processes.

Conclusions. The transformation of security thinking is systemic in nature and is associated with changes in the ontology of threat, the subjectivity of governance, and the normative boundaries of intervention in social processes. Algorithmic mechanisms form a new type of regulatory rationality within which security acquires a predictive dimension. The results provide a conceptual foundation for further research on the normative regulation of algorithmic systems and the development of principles for their responsible application.