QuestionQ91

VerifiedProactive Threat Detection

A financial institution’s SIEM produces a large number of false positives, creating alert fatigue for SOC analysts. To lessen this burden and improve the accuracy of threat detection, the organization integrates AI capabilities into the SIEM. After implementation, the SOC team sees a substantial reduction in redundant alerts and faster detection of genuine threats. Which AI capability enabled this improvement?

Explanation

Dynamic rule optimization uses observed alert patterns and outcomes to continually tune detection rules and thresholds. This suppresses repetitive false positives while preserving or improving detection of meaningful threats. Microsoft Sentinel’s machine-learning-based detection tuning similarly analyzes signals and incident responses over time to provide tuning recommendations that reduce false-positive burden.

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