Evaluating Incident Response in CSIRTs using Cube Socio-technical Systems Analysis

This paper provides a novel method for evaluating Incident Response (IR) teams through the application of the Cube Socio-technical Systems Analysis (STSA) methodology. Cube is a form of structured Human Factors enquiry and has previously been successfully applied in both aviation and healthcare. By utilising STSA, this study aims to understand and evaluate incident knowledge across the IR socio-technical domain. Traditional approaches to IR improvement often focus solely on technical aspects, neglecting social factors that may significantly influence IR effectiveness.

This research presents the results of extending the ARK platform for a cybersecurity IR Cube STSA of IR activities in a case study involving a large, accredited Computer Security Incident Response Team (CSIRT). It evaluates the IR system and team needs before the development of a technological intervention to improve IR learning and preparation capabilities. We present an extended Cube questionnaire, that defines specialised IR questions, an ontology, and terminology for the cybersecurity domain based on the ISO27000 series of standards. The case study demonstrates the ARK platform's capability to capture and analyse IR systems using a Multi-stage Cube STSA analysis shared in a reusable knowledge graph based on W3C standards. This provides a shared knowledge base based on FAIR (Findable, Accessible, Interoperable, Reusable) linked data, that may support generation of training materials, playbooks, and best practices to enhance IR capabilities and CSIRT operations. We show how this approach provides new insights and reusable artefacts for CSIRTs to enhance organisational cyber resilience and learning.