Security operations centers face a constant tension: too many false alerts overwhelm analysts, while too few alerts risk missing critical incidents. A new arXiv paper introduces STRAL, a score-triggered active-learning method, to study how adaptive screening affects this balance.
The authors note that adaptation—where the screening system learns from analyst feedback—can alter which events are detected. This means the trade-off is not simply about volume; the set of detected events can shift in ways that matter for security outcomes.
The abstract does not provide specific results, but it frames STRAL as a tool for investigating these costs and benefits. For SOC teams considering adaptive screening, the paper highlights that gains in reducing alert load may come with changes in detection coverage that need explicit evaluation.