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Our research focuses on the critical intersection of artificial intelligence and cybersecurity operations, specifically examining how AI tools can be effectively integrated into Security Operations Centre (SOC) workflows. As cyber threats become increasingly complex, we investigate the delicate balance between leveraging AI automation and maintaining human expertise in threat detection and response.
Using Cognitive Task Analysis (CTA) as our primary methodological framework, we study how SOC operators process information and make decisions during security incidents. Our work addresses key challenges in human-AI collaboration, including automation bias, skill degradation, and the risk of reduced situational awareness that can occur when operators over-rely on automated systems.
We advocate for adaptive automation approaches where control dynamically shifts between human operators and AI agents based on task demands and context. This research is particularly relevant given recent advances in large language models for cybersecurity applications and growing concerns about operator burnout in high-stress SOC environments.
Our goal is to develop evidence-based guidelines for implementing AI support systems that enhance rather than replace human judgment, ensuring that technological advancement strengthens cybersecurity operations while preserving the critical thinking skills that human operators bring to complex threat scenarios.
Daniel Smilek
eSentire
Sociology
Information and cultural industries; Professional, scientific and technical services
University of Waterloo
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.