Threshold calibration sets meaningful boundary values for key risk indicators that prompt investigation, escalation, or intervention when breached. Effective thresholds balance sensitivity to detect emerging problems against specificity to avoid alert fatigue from false positives. Organizations analyze historical data, risk appetite statements, and leading indicator relationships to determine appropriate levels. A payment processor might calibrate transaction decline rate thresholds using seasonal patterns, fraud trends, and customer experience impacts. Thresholds typically include multiple levels—advisory, warning, and critical—with corresponding response protocols. Periodic recalibration ensures thresholds remain relevant as business conditions, risk profiles, and strategic priorities evolve.