Organizations face a dual challenge: the increasing frequency of sophisticated cyberattacks an‎d a systemic failure to learn from these incidents. The IBM (2022) report [3] reveals the staggering financial costs of data breaches, highlighting an urgent need for improved defense an‎d response mechanisms. The fundamental problem this seminar addresses is that vital knowledge acquired during an Incident Response (IR) engagement remains "Tacit Knowledge" [2], trapped within the minds of individual analysts rather than being converted into an organizational asset. This seminar aims to bridge this gap by applying established "Knowledge Management" (KM) principles [1]. Through an analysis of stan‎dard IR frameworks (like NIST [6] an‎d SANS [7]), this research identifies a critical failure point in the "Lessons Learned" phase. This seminar proposes that integrating a formal KM framework, as explored in recent literature [4, 5, 8], can transform the IR process from a reactive practice into a continuous learning loop. This integration will enhance decision-making [10] an‎d proactively strengthen the organizationʹs security posture.

2/18/2026 12:00:00 AM

89693

1404/11/29

Knowledge Management in Cybersecurity Incident Response

Knowledge Management , Incident Response , Cybersecurity , Organizational Memory , Decision Support