Information security is a critical field in which many different factors and constraints must be taken into account to ensure that data and infrastructure are protected. One of the main challenges in this area is the optimal allocation of limited resources between different security measures, which requires the use of mathematical methods to find optimal solutions. This article discusses the use of linear programming methods to solve problems related to optimizing the costs of information security risk reduction measures. The article reviews scientific sources on the applied aspect of linear programming for risk assessment and information security risk management. The article shows the process of building a model based on a linear programming problem, starting with the formalization of the problem, selection of the objective function and constraints, and ending with obtaining an optimal solution with its analysis and interpretation. The model in the form of a linear programming problem allows optimizing the total costs of information security, taking into account the chosen direction of optimization and given the given constraints on resources - budget, time, technical and other.
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