How would you apply machine learning to security detection challenges in a SOC environment? Discuss the types of problems ML solves well, common pitfalls, model selection considerations, and how you would operationalize ML-based detections alongside traditional rules.

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Applying machine learning to security detection is powerful but requires careful consideration of where ML adds genuine value versus where simpler approaches suffice. I have seen both successful ML deployments that caught threats rules missed and failed projects that produced…