Specifics of Effective Selection and Training of Security Personnel in Large Companies

The study is dedicated to the systematization and analysis of existing approaches to the selection and training of security service personnel. The aim of the research is to examine the specific characteristics of effective recruitment and subsequent training of security staff in large corporations. The methodological framework comprises analysis and synthesis of recent scientific publications on psychophysiological diagnostics of candidates, evaluation of the predictive validity of selection techniques, and the integration of immersive VR/AR technologies and digital twins into training programs. As a result, a synergistic model is proposed that combines multilevel psychodiagnostic profiles with an architecture of adaptive training programs, enabling the creation of personalized development trajectories for employees and enhancing their resilience to stressful and unexpected situations. The scientific contribution lies in the substantiation of a competency-based synergistic model that links candidates’ psychodiagnostic data with adaptive learning modules based on digital twins and VR technologies. The practical significance of the findings consists in their applicability for security managers, human resources directors, and specialists responsible for the development of corporate security systems in large organizations.

corporate security, personnel selection, personnel training, competency-based approach, psychodiagnostics, insider threats, VR technologies in training, adaptive learning, human resource management, security services

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