1 Department of Computer Science and Engineering, University of Fairfax, Salem, Virginia, USA.
2 Department of Computer Science and Engineering, Hood College, Maryland, USA.
3 Department of Business, University of Fairfax, Salem, Virginia, USA.
* Corresponding author; Email: sobulos@students.ufairfax.edu
ORCID Details
Stephen Sobulo: https://orcid.org/0009-0002-9019-7996
Olajide Dare: https://orcid.org/0009-0002-1187-8575
Adebiyi Adisa: https://orcid.org/0009-0002-7298-6713
Isdore Ugochukwu Opara: https://orcid.org/0009-0003-0788-8057
Ekundayo Peter Buremoh: https://orcid.org/0009-0008-5037-0284
World Journal of Advanced Research and Reviews, 2026, 31(03), 1370–1407
Article DOI: 10.30574/wjarr.2026.31.3.2442
Received on 10 August 2026; revised on 19 September 2026; accepted on 21 September 2026
This review examines how sleep restriction, cumulative fatigue, alert overload, cognitive workload, occupational stress, burnout, and human-AI task allocation shape the cognitive conditions under which Security Operations Center (SOC) analysts and incident responders perform. The review updates and integrates evidence from cybersecurity, cognitive neuroscience, occupational psychology, human factors, and organizational resilience through August 2026. The synthesis distinguishes direct cybersecurity evidence from transferred evidence and identifies a persistent empirical gap: cyber operations clearly exhibit fatigue, workload, burnout, and alert-management pressure, but direct longitudinal evidence connecting objectively measured sleep and cognitive state to operational cyber outcomes remains limited. To move beyond a descriptive human-factors account, we refine the Human Cognitive Resilience Framework (HCRF) as a testable socio-technical model linking operational demands, cognitive load and occupational stress, organizational resources, cognitive resilience, cybersecurity performance, organizational cyber resilience, and organizational learning. The revised framework incorporates 2026 developments in human-centered cybersecurity and human-AI incident management, and introduces a quantitative operationalization for repeated-measures field testing. Recommended measurements combine sleep/actigraphy, psychomotor vigilance, workload and stress instruments, analyst telemetry, objective triage and response metrics, and organizational-resource indicators. Formal mediation, moderation, nonlinear threshold, and multilevel hypotheses are specified. The resulting framework treats human cognitive capacity neither as a substitute for technical controls nor as an individual responsibility problem, but as an operational resource jointly shaped by work design, staffing, recovery, automation, leadership, and team processes.
Alert Fatigue, Burnout, Cognitive Resilience, Cybersecurity Workforce, Human-Centered Cybersecurity, Human-AI Teaming, Security Operations Center, Sleep, Workload.
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Stephen Sobulo, Olajide Dare , Adebiyi Adisa, Beauty Enobun, Isdore Ugochukwu Opara and Ekundayo Peter Buremoh. HUMAN COGNITIVE RESILIENCE IN SECURITY OPERATIONS CENTERS: A STRUCTURED REVIEW AND QUANTITATIVE FRAMEWORK FOR SLEEP, ALERT FATIGUE, WORKLOAD, AND HUMAN-AI CYBER DEFENSE. World Journal of Advanced Research and Reviews, 2026, 31(03), 1370–1407. Article DOI: https://doi.org/10.30574/wjarr.2026.31.3.2442