How does adaptive security address false positive management in machine learning models?

Question

Accepted Answer

Adaptive security addresses false positive management by implementing continuous tuning of machine learning models. Analyst feedback on misclassifications is used to refine detection algorithms, and detection thresholds are adjusted to balance sensitivity and specificity, minimizing alert fatigue and improving detection accuracy.

Adaptive Security

## How does adaptive security address false positive management in machine learning models?