Abstract
Modern information infrastructure consists of a large number of systems and components that require constant monitoring and control. To identify, analyze and eliminate possible cyber threats, it is recommended to use a single common solution - the so-called SIEM systems. SIEM technology collects event log data, detects unusual activity through real-time analysis, identifies threats, generates alerts, and suggests appropriate action scenarios. Today, the number and quality of SIEM systems has grown significantly, and the latest technologies of artificial intelligence, the Internet of Things, and cloud technologies are used to ensure fast and effective detection of threats. Thus, the work carried out a study of modern SIEM systems, their functionality, basic principles of operation, as well as a comparative analysis of their capabilities and differences, advantages and disadvantages of use. In addition, a universal system of event correlation and management of cyber security incidents at critical infrastructure facilities was developed and experimentally investigated. Models of the operation of the hybrid security data storage have been developed, which allow the indexing service to access external data storages, to perform scaling when the volume of data increases, to ensure high search speed, etc. Models, methods and algorithms for the operation of a distributed data bus have been developed, which allow for high speed processing of large flows of information, minimal delays in data processing, high resistance to failures, flexibility and expandability of storage. The proposed system is designed to solve a number of current cyber security problems and meets the main requirements of international standards and best global practices regarding the creation of cyber incident management systems.