ORIGINAL RESEARCH article
Front. Comput. Sci.
Sec. Networks and Communications
This article is part of the Research TopicFrontiers in Information Technology, Electronics, and Management InnovationView all 6 articles
A Capability Driven Automated Cybersecurity Monitoring and Response System
Provisionally accepted- Riga Technical University, Riga, Latvia
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Organizations face a variety of cybersecurity threats, and implementation of security management solutions is a challenging task. This paper proposes to implement such solutions in an incremental manner starting with key requirements and adding new modules as necessary. A set of key requirements with a focus on cybersecurity threat monitoring and response automation are identified. The capability driven approach is used to describe these requirements in a structured manner. That enables organizations to identify required security management capabilities in alignment with organizational goals. A cybersecurity monitoring and response system is developed on the basis of the capability model. The system uses machine learning models to identify cybersecurity threats, and appropriate response mechanisms are invoked to deal with the threats. It is shown that selection of the right adjustments defined in the capability model significantly affects cybersecurity management efficiency. The use of the machine learning models also allows to adapt the system to handling new cybersecurity threats. The cybersecurity monitoring and response system is compared with the state of the art commercial systems and it is shown to achieve a comparable performance while providing a higher level of flexibility.
Keywords: Cybersecurity1, adaptive cybersecurity2, cybersecurity incident management3, capability management, machine learning5
Received: 25 Aug 2025; Accepted: 31 Oct 2025.
Copyright: © 2025 Minkevics and Grabis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Vladislavs  Minkevics, vladislavs.minkevics@rtu.lv
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