A new approach for automating the orchestration of the incident lifecycle through next-generation SOC services able to detect/mitigate sophisticated attacks against CNIs, but also implement proactive detection and mitigation measures against zero-day threats is presented.
Abstract
Critical National Infrastructures (CNIs) have evolved over the last years through the digitization of their services, which simultaneously led to an increase of their threat surface. Meanwhile, the exponential rise of Artificial Intelligence (AI) technologies has given the means to adversaries to perform targeted attacks against high impact systems as the ones found in CNIs. Current regulation directives as the NIS2 or the Cyber Resilience Act (CRA) focus on the presence of Security Operation Centers (SOCs), which include different security technologies for the detection and response to cyber-attacks. Nevertheless, such baseline SOCs do not provide the ability to perform a coordinated and orchestrated detection and response cycle for existing cyber threats, but also do not provide proactive measures for zero-day threats. To this end, this paper presents a new approach for automating the orchestration of the incident lifecycle through next-generation SOC services able to detect/mitigate sophisticated attacks against CNIs, but also implement proactive detection and mitigation measures against zero-day threats. The approach is presented through a reference model for intelligent SOC components that additionally allow tackling the challenges in traditional SOC environments, such as fatigue for the multiple alerts for the SOC analysts and the time required for investigating triaging and investigating incidents.
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