As information technologies progress further, the number of vulnerabilities and threats to various data processing systems increases, creating a need for specialized security tools to ensure proper systems functioning and intrusion prevention. A promising area of rapid growth within the field of information security is cyberattack detection and information systems intrusion prevention of unauthorized party access. To identify network intrusions, intrusion detection and prevention systems use modern methods, models, controls and integrated technical solutions that can remain effective when new or modified types of cyberthreats occur. In general, whenever new threats and anomalies are generated by attacks with unidentified or vaguely defined properties, these tools do not always remain effective and require extended time resources to adapt to aforementioned security gaps. Thus, intrusion detection systems must be continuously researched and refined to ensure their effective operational continuity. Such systems include specialized software that is designed to detect suspicious activities or information system intrusions and take sufficient measures to prevent cyberattacks. Source analysis has shown that the issue of rapid detection of exploits and anomalies is a major concern for modern information systems and networks. Most papers only include a partial analysis and classification of intrusion detection systems, and provide a general description of corresponding controls that does not address their wide variety and does not include a required set of characteristics needed for an integrated assessment of such systems. Therefore, the paper presents a generalized analysis of intrusion detection software using a defined basic set of characteristics ("Cyberattack Category", "Adaptivity", "Detection Methods", "System Management", "Scalability", "Observation Level", "Cyberattack Response", "Security"and" Operating System Support"), which will provide certain options when choosing such tools and developing for them the most efficient security mechanisms possible for mitigating cyberattack impacts.

The overwhelming majority of intrusion detection systems become an integral part of the protection of any network security, they are used to monitor suspicious activity in the system and detect an attack by an unauthorized party. Ac-tivating of cyberattacks initiates the creation of special technical solutions that can remain effective when new or modified types of cyber threats appear with unidentified or unclearly defined properties. The majority of such systems are aimed to detect suspicious activity or interfering in the network to take adequate measures to prevent cyber at-tacks. Current systems for detecting intrusions are those that are aimed to identify abnormal states, but they have a number of disadvantages. More effective in this regard are expert approaches based on the use of knowledge and experience of specialists in the relevant subject field. The construction of technical solutions and the creation of special tools (for example, software for detection systems that allow detection of previously unknown cyber attacks by controlling the current state of unclear parameters in a poorly formalized environment, based on expert approaches, is a promising area of research. Based on the well-known cyberattack detection system which is based on the methodology for detecting anomalies generated by cyber attacks and the set of appropriate methods and models, software provided by the basic algorithm and a number of developed procedures (grid construction, initialization of values based on a set of databases and modules; graphic forming of parameters, search of common points in ac-cordance with the basic rules and graphic interpretation of the result) allows to automate the process of forming parameters etalons for modern attack detection systems and display the results of detecting abnormal states at a given time interval.

Ongoing advances in information technology affect all areas of society. One of the most promising areas of rapid growth within the field of information security is cyberattack detection and intrusion prevention. Massive cyberattacks initiate the development of specific technical solutions, tools and cyber countermeasures systems. To identify network intrusions, intrusion detection and prevention systems use modern methods, models, tools and integrated technical solutions that can remain effective when new or modified types of cyberthreats occur. In practice, however, with the emergence of new threats and anomalies, these tools do not always remain effective. Thus, intrusion detection systems must be continuously researched and improved. Such systems include specialized software that is designed to detect suspicious activity or information system intrusions and take sufficient measures to prevent cyberattacks. These systems and tools tend to be rather expensive, closed source, and require periodic support from their developers for improvement and appropriate adaptation to certain organizations' environments. Taking into account the results of well-known research, the paper presents a generalized analysis of intrusion detection systems software using a defined basic set of characteristics ("Cyberattack Category", "Adaptivity", "Detection Methods", "System Management", "Scalability", "Observation Level", "Cyberattack Response", "Security" and "Operating System Support"). This will provide the developers and users with certain options when selecting the appropriate modern information systems protection software.