Software and algorithmic support for processing and analyzing electronic regulatory documents in information security

I.R. Chekanov, A.S. Kuznetsov, S.V. Pivneva

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Abstract. In a rapidly changing regulatory landscape, ensuring the relevance of information and analytical system databases is becoming critical, particularly in the field of information security. This paper addresses the core challenges in developing software and algorithmic tools for the automated processing and analysis of electronic regulatory documents within information security.
Aim. The study aims to present the development and integration of a software-algorithmic module for updating regulatory documents in the EIAS “Themis”, describing its architecture and performance in improving information security data processing.
Research materials and methods. The core approach involves methods of systems analysis, synthesis, and formalization, combined with the development of algorithmic support for analyzing electronic regulatory documents in information security.
Results. This paper introduces an automated software-algorithmic solution engineered to track, update, and synchronize information security regulatory compliance data within enterprise-level architectures. The developed module has been successfully integrated into the framework of the existing EIAS “Themis”. Its core operational principles are presented, including the parsing of open legal repositories, document version comparison based on the Levenshtein distance algorithm, and administrator interaction upon detecting conflicts. Technical diagrams and Python source code samples are provided to illustrate the functional logic of the module.
Conclusion. The practical relevance of this work stems from reducing the labor-intensive process of keeping the regulatory baseline up-to-date and minimizing risks related to the use of outdated compliance data.

Keywords: electronic document processing, software and algorithmic support, information security, process automation, parsing, data updating

For citation. Chekanov I.R., Kuznetsov A.S., Pivneva S.V. Software and algorithmic support for processing and analyzing electronic regulatory documents in information security. News of the Kabardino-Balkarian Scientific Center of RAS. 2026. Vol. 28. No. 3. Pp. 96–106. DOI: 10.35330/1991-6639-2026-28-3-96-106

©   Chekanov I.R., Kuznetsov A.S., Pivneva S.V., 2026

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Information about the authors

Ivan R. Chekanov, Senior Lecturer, Russian State Social University;
4, Wilhelm Pieck street, building 1, Moscow, 129226, Russia;
Cartmen98@yandex.ru, ORCID: https://orcid.org/0000-0002-3656-265X, SPIN-code: 6993-8756
Andrey S. Kuznetsov, Candidate of Technical Sciences, Deputy Head of the Faculty of Political and Social Technologies for Research, Associate Professor, Department of Information Technology, Artificial Intelligence, and Socio-Social Technologies of Digital Society, Russian State Social University;
4, Wilhelm Pieck street, building 1, Moscow, 129226, Russia;
askgoogle@internet.ru, ORCID: https://orcid.org/0000-0003-1569-4765, SPIN-code: 8442-7210
Svetlana V. Pivneva, Candidate of Pedagogical Sciences, Associate Professor, Dean of the Faculty of Political and Social Technologies, Head of the Department of Information Technology, Artificial Intelligence, and Social Technologies of the Digital Society, Russian State Social University;
4, Wilhelm Pieck street, building 1, Moscow, 129226, Russia;
pivnevasv@rgsu.net, ORCID: https://orcid.org/0000-0003-2288-9915, SPIN-code: 1302-5825

Funding

The study was performed without external funding.