We Processed 1 Million Alerts. Here’s What We Learned About Noise.

Alert fatigue, primarily caused by unnecessary alerts that require no human action, is a significant challenge in incident response for most organizations, with 60-80% of alerts being duplicates, downstream symptoms of a single root cause, or self-resolving. This excess of alerts, termed "alert noise," results from several factors, including alert storms from single events, outdated thresholds, and self-resolving alerts that undermine trust in alert systems. Hybrid correlation, which combines rule-based and machine learning approaches with human oversight, is recommended to manage alert noise effectively. By calculating noise scores for alert rules and prioritizing the tuning or retirement of high-noise rules, organizations can reduce alert fatigue and improve response times. This approach, supported by AI-driven insights, fosters an environment where actionable alerts stand out, enhancing overall incident management efficiency.

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