Analysis of digital footprints and registry data in corporate security systems
Ротко Андрей Геннадьевич · Финансы и управление · 2025
The subject of the study is the system of counterparty verification at the preliminary analysis stage to ensure the economic security of the company. The object of the research is the due diligence procedures in corporate practice aimed at identifying risks associated with unreliable partners. The author examines such aspects of the topic as the use of digital footprints, legal and behavioral indicators in assessing the reliability of a counterparty. Particular attention is paid to the analysis of information from open sources such as government registries, court databases, news aggregators, and commercial analytics platforms. The article explores how data from the digital environment can be integrated into the internal control system. It also discusses the mechanisms for adapting the KYC (Know Your Customer) approach to the Russian context. The author highlights the features of forming the ICRD (integral risk of digital counterparty) model applicable within the framework of automated verification of business partners. The work is based on a specific case study in the construction industry, which allows demonstrating the practical significance of the applied methods. The research employs content analysis, case study, and comparative analysis methods and develops an authorial model for risk assessment – ICRD. The novelty of the research lies in the development of an applied model of integral risk of a digital counterparty (ICRD), taking into account legal, financial, and behavioral parameters based on digital sources. A significant contribution of the author to the research topic is the systematization of approaches to analyzing the digital footprint of a counterparty within the framework of internal control procedures and reliability assessment. The main conclusions of the conducted research are the confirmation of the practical significance of comprehensive digital assessment in implementing the principle of due diligence, as well as the possibility of integrating the proposed model into automated verification systems. The research results demonstrate that using data from open registries, media environments, and commercial analytical platforms allows reducing subjectivity in decision-making and enhancing the level of economic security of the company. The work may be useful for professionals in the field of risk management, compliance, and investment analysis.