When AI is confidently wrong
Summary
This piece examines how AI performs in SOC workflows when it is confident but wrong, using examples from triage, investigation, and SOAR automation. It highlights the risk of misclassifying benign or protected accounts and shows how automation can create operational blind spots if teams do not add guardrails. The article argues for defense in depth, calibration, and human-in-the-loop checks instead of fully autonomous response. It also suggests that AI-augmented SOC teams should separate detection, validation, and response duties more carefully.
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