Corporate Compass Sinking in a Sandstorm of False Alerts--Management Distortion Caused by the Illusion of Detection
False positives are a structural risk that affects not only the complexity of security operations but also the entire corporate management. If legitimate communications and operations are interrupted due to excessive alerts, service availability will decline, leading to customer churn, lost sales, and brand damage. In online business, service outages are fatal, and this is the reason why major cloud service providers have made availability their most important indicator.
False positives also burden the operations department, and in SOCs, the sheer volume of false alerts takes away analyst time and focus, leading to loss of learning, exhaustion, and turnover. The more talented personnel are more likely to leave, organizational strength declines, and a negative cycle begins. A paradox arises when the lack of human resources increases the risk of missing false alerts.
Furthermore, the 99% detection rate is meaningless if the false positive rate is not taken into account; Kaspersky and UpGuard have reported that reducing false alerts is the key to effective defense, and that in an environment with many false positives, real attacks are buried and critical incidents are easily missed.
To solve this problem, it is necessary to operate based on quality, not quantity, of detections. It is effective to introduce an automated false positive suppression model using correlation analysis and behavioral analysis SOAR, and it is also important to create an environment in which analysts can concentrate on high-level work. A compass is required to reconstruct security as a strategy based on availability, field load, and management impact.
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