The proposed framework improves SOC effectiveness through cognitive profiling and agent collaboration.
Security Operations Centres (SOCs) face mounting cognitive and operational demands as cyber threats increase in scale and complexity. This paper proposes a human-AI collaboration framework to augment SOC effectiveness through cognitive profiling and agentic coordination. We map 29 core SOC functions across three cognitive dimensions, thinking mode, attention level, and coordination context, revealing a concentration of tasks in cognitively saturated zones requiring slow thinking, high attention, or collective decision-making. To address these challenges, we introduce a multi-agent architecture grounded in the Belief–Desire–Intention (BDI) model and structured by an extended VOWEL+U framework that embeds human oversight into agentic ecosystems. We define four AI agent roles, Assistant, Auto-Pilot, Companion, and Operator, aligned with operational autonomy levels to support function-specific delegation. Building on this, we propose a new SOC function: Agent Collaboration and Oversight (F30), reflecting the emerging need for human supervision and configuration of agentic behaviour. Together, these contributions outline a path toward symbiotic human-AI SOCs, which can shift cognitive load, enhance decision quality, and ensure accountable, adaptive cyberdefence.
No takes yet. Share an insight, caveat, or question.
Yaich et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: