Assessing a company’s economic security is a complex task that requires the use of mathematical techniques. In this research, the authors use fuzzy logic and comprehensively assess a railway company’s economic security, specifically “Russian Railways” JSC. Since fuzzy logic can deal with imprecise and unclear data, which is frequently encountered when evaluating economic security, it is frequently employed in economic studies. The measurement range of fuzzy sets that characterize the level of economic security is produced in the first stage. Following that, a five-year period’s worth of economic security indicators is analyzed within the framework of six components: legal, financial, environmental, intellectual, technological, and informational. The integration of fuzzy sets allowed the authors to create a comprehensive indicator to assess the level of economic security and propose strategies for its improvement. The research contributes to the field by providing a thorough framework for assessing economic security in the railroad sector.