Alert Fatigue Cost Calculator

Alert fatigue costs depend on alert volume, false positive rate, and analyst salaries. A typical SOC receiving 500 alerts per day with a 70% false positive rate spends over 46 hours daily triaging noise — costing hundreds of thousands of dollars annually in wasted analyst time. The real cost goes beyond salary: burned-out analysts miss genuine threats, increasing breach risk and potential incident response costs.

Industry research consistently shows that 50% to 90% of security alerts are false positives, with 70% being a common midpoint. Legacy SIEM systems and overly broad detection rules are the biggest contributors. This means the majority of SOC analyst time is spent investigating alerts that turn out to be benign — time that could be spent hunting real threats or improving security posture.

AI cybersecurity agents can auto-triage up to 85% of incoming alerts with accuracy that matches or exceeds experienced analysts. They use behavioral analysis, threat intelligence correlation, and contextual enrichment to classify alerts in seconds rather than minutes. The remaining 15% of alerts — those requiring human judgment — are escalated with full context, making manual review faster and more effective.

AI agents reduce alert fatigue by automatically suppressing false positives, correlating related alerts into single incidents, and enriching true positives with context before escalation. This frees SOC analysts from repetitive triage work and lets them focus on threat hunting, incident response, and security engineering. Teams typically see a 90% reduction in time spent on false positive investigation and can reallocate multiple FTEs to higher-value security work.