The article takes a look at an algorithm of decision making in educational management data system based on the Analytic Hierarchy Process. This technique allows to choose the best of the proposed alternatives, the characteristics of which are vectors with heterogeneous individual components including those that are not clearly defined. The architecture of a decision-making support system that implements the proposed algorithm is suggested.

This paper describes the development of information system software for educational institutions ranking. Analysis of the existing mathematical models of educational institutions ranking was conducted; the mathematical apparatus and ranking algorithm of educational institutions on the basis of an integral indicator of quality was proposed; an experimental study of the software was conducted; the architecture of a software implementation of information system was designed and described.

As organizations increasingly rely on digital technology to operate, protecting their information and data has become a critical concern. Information security systems are designed to safeguard digital assets against unauthorized access, use, disclosure, disruption, modification, or destruction. However, evaluating the effectiveness of an information security system can be challenging due to the complexity of the system and the diversity of threats it faces. In recent years, researchers have proposed using fuzzy inference to evaluate the effectiveness of information security systems. Fuzzy inference is a mathematical approach that can handle uncertain and imprecise information, making it well-suited for evaluating the effectiveness of information security systems. This research aims to develop a method for evaluating the effectiveness of an information security system based on fuzzy inference. The proposed method uses a set of performance indicators to measure the effectiveness of the system, such as the number of security incidents detected, the response time to security incidents, and the number of false positives and false negatives [1]. These indicators are then combined using fuzzy inference to generate an overall effectiveness score for the system. The proposed method will be evaluated using a real-world case study of an information security system deployed in an organization. The effectiveness score generated by the fuzzy inference method will be compared to the results obtained using traditional evaluation methods, such as the cost-benefit analysis or the return-on-investment analysis. The results of the study will demonstrate the effectiveness and usefulness of the proposed method for evaluating information security systems.

The field of information security is constantly evolving, and new threats appear every day. To ensure that organizations remain protected from these threats, it is important to have a reliable information security audit system. The purpose of this study is to study the current state of information security audit systems in organizations and identify the best practices for the implementation and maintenance of these systems. In the course of the study, various methods and methods of conducting an information security audit will be analyzed, security analysis tools and information security tools.

Penetration testing is a crucial aspect of information security and is used to access the security posture of a system. The objective of this research is to analyze the various methods and techniques used in penetration testing. The study focuses on the different stages of penetration testing, including planning, reconnaissance, scanning, exploiting, and reporting. A comprehensive analysis of the commonly used tools and techniques in each stage is provided, along with a discussion of their strengths and weaknesses. The research also provides a critical evaluation of the current state of the art in penetration testing and identifies areas for improvement. The study concludes by presenting recommendations for future research in this field. The results of this research are valuable for organizations and individuals who want to enhance their security posture and protect against potential threats.

This research is devoted to the development of innovative technology for automation of the quality management system (QMS) of enterprises in Kazakhstan and its adaptation to the management system of enterprises. This article deals with quality, as an important strategic tool in business. System effectiveness evaluation of quality management enterprises is of great importance connected with the formation of rational decisions in the management of QMSs, including specificity of quality indicators, multi-level system, the necessity to choose the optimal number of performance indicators, and system status evaluation. The objective and relevance of this research are related to the need to (1) solve the problems of quality management in the digital economy, following from the relevant National programs of the Government of the Republic of Kazakhstan, which are important at this step of in-depth scientific research; (2) guarantee the competitiveness of domestic enterprises with high-quality requirements for products and services; (3) improve the efficiency of automated QMSs; (4) save resources (human and timing) in data processing. The method and model of automated enterprise quality management and intelligent automated system of quality management of enterprise integrated with ruling MICS (Management Information and Control System) subsystems are offered allowing to automate QMS implementation and support processes and increasing the validity, efficiency and effectiveness of management decisions by automating a number of functions of decision makers and personnel.