AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Survey
This survey reviews AI-driven methods for filtering and prioritizing security alerts to combat alert fatigue, establishing a four-stage workflow taxonomy and identifying critical gaps in current research.
Abstract
More Like ThisSecurity alert screening is the downstream task of filtering, prioritizing, correlating, and contextualizing alerts for analyst attention in Security Operations Centers. This survey reviews artificial-intelligence-driven alert screening and alert-fatigue mitigation from 2015 to 2026. We synthesize 119 records, including 87 core studies, into a four-stage workflow taxonomy covering filtering, triage, correlation, and generative augmentation. We find persistent gaps in operational validation, adversarial robustness, cross-environment generalization, and evaluation practice. The survey concludes with a research agenda toward trustworthy Cognitive Security Operations Centers.