This whitepaper challenges traditional security metrics that focus on activity volume rather than effectiveness. Legacy KPIs such as number of alarms processed or patrols completed create a “volume trap,” where teams appear productive but fail to improve outcomes. As shown in the framework, AI-augmented metrics shift focus to meaningful indicators like triage latency, narrative quality, and human override rates. These metrics emphasize speed, accuracy, and decision quality rather than workload. By adopting outcome-based measurement, organizations can reduce alert fatigue, improve response precision, and align security operations with business value. The paper establishes a new standard for evaluating performance in AI-augmented security environments.

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