Business Informatics | 2026
Authors: Biryukov D.N.; Dudkin A.S.; Frolov A.V.
DOI: 10.17323/2587-814X.2026.1.29.40
Journal: Business Informatics
Year: 2026
Publisher: National Research University Higher School of Economics (HSE University)
Document Type: Article
Open Access: All Open Access; Gold Open Access; Green Open Access
Cited by: 0
Modern challenges in organizational security, particularly within critical infrastructure sectors (energy, transportation, finance, IT), necessitate innovative solutions to mitigate risks associated with hiring unreliable personnel. This requires a shift from conducting fragmented checks to the creation and implementation of comprehensive systems for proactive risk assessment. The urgency of developing such systems is driven by the high frequency and catastrophic consequences of insider incidents, coupled with the inability of traditional methods to detect complex, multi-stage threats originating from employees. However, building intelligent systems that semantically integrate heterogeneous data (biographical, behavioral, financial, digital) presents new systemic challenges. The aim of this article is to analyze the key methodological, ethical-legal, and architectural requirements for designing such systems. The work sequentially examines: 1) ethical and legal dilemmas (fairness, privacy, the right to explanation) and the constraints imposed by personal data legislation; 2) specific cyber threats targeting the compromise of the knowledge base and system logic, along with architectural countermeasures based on Security by Design principles; 3) a comparative analysis of the technological components of a multi-level assessment system (documentary verification, psychometric testing, AI analysis), justifying the necessity for their integration. The scientific novelty lies in a synthetic approach that forms a holistic methodology, considering not only technological efficiency but also fundamental legal constraints and information security requirements. The practical significance of the work consists in formulating systemic requirements for the design of secure, lawful, and socially responsible intelligent decision support systems for personnel security. © 2026 National Research University Higher School of Economics (HSE University). All rights reserved.
AI analysis of behavioral and biographical data; cyber resilience of personnel assessment systems; ethical and legal restrictions on personal data processing; intelligent decision support systems; ontological modeling; proactive assessment of personnel risks; psychometric testing in personnel security; semantic integration