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The research problem lies in the absence of a comprehensive model for evaluating the effectiveness of information security systems, capable of taking into account both technical security aspects and subjective factors, such as user trust. Furthermore, current methods often either focus on isolated aspects or lack sufficient adaptability to the unique needs and risks of companies. The article aims to develop a multi-parametric model for evaluating the effectiveness of information security systems. The study examines existing approaches to evaluating the effectiveness of information security systems, such as methods based on fuzzy logic, system analysis, and goal-achievement methodology. A multi-parametric model is proposed, incorporating four key metrics: threat assessment (summarizes the influence of each threat, providing a comprehensive understanding of organizational risks), defense effectiveness assessment (quantifies how effectively security measures are implemented within the organization), functional resilience assessment (quantifies the system's resilience to incidents and technical failures), and integrated security assessment (combines all three previous metrics into a single index reflecting the overall level of information system protection). The proposed model allows for the consideration of various aspects of information security and their adaptation to the specific characteristics of the organization. The model emphasizes the significance of the trust coefficient in information security systems, reflecting the balance between objective technological characteristics and subjective user perception. Examples are given of the model metrics' dependence on parameters such as incident frequency and downtime, allowing for an assessment of the proposed model's effectiveness. The developed model provides a more detailed and organization-specific approach to evaluating the effectiveness of information security systems.

Time series analysis is a method of key importance for systems of various hierarchies’ economic security studies. This article’s main goal is to develop an economic security rapid indicators system, introducing threshold values and utilizing indices with a one-month sampling period, and its approbation during Russia’s economic security operational monitoring. In order to develop such a system, the authors accumulated economic security world experience including reliability, visibility and tree structure principles. The authors’ monitoring system includes four spheres: real economy, social, monetary and foreign economic, each of which contains three indicators. In order to organize economic security monitoring, it is proposed to use the index method, which converts indicators into a dimensionless form with integral values in subsequent calculations. Based on integral indices values, the economic security generalized index is synthesized, which can be used to analyze a system’s development trends. We present economic security normalized indicators and integral indices dynamics for the years 2020–2022, which show two crises dynamics. The first is due the COVID-19 pandemic, while the second is associated with economic sanctions against Russia, implemented in 2022. The proposed economic security operational monitoring indicators system can be used effectively in the government’s practical tasks in order to ensure the required level of economic security. This is especially true for rapid diagnosis of crisis phenomena in countries and individual regions.

The paper describes the software system of multi-criteria analysis of comparative economic systems - agraphical environment, which includes software andgraphical implementation of six algorithms (modules)of the multi-criteria analysis. To check the adequacy of the results of the program algorithms are comparedwith manual calculations.