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On Confidence

ID: 3e72f8f0-3216-5a83-94df-b45abbe55f9d

STIX ID: report--3e72f8f0-3216-5a83-94df-b45abbe55f9d

Feed Name: Detect FYI

Date Published: 2025-07-11

Date Updated: 2026-04-19

Author: Richard Ackroyd

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An educational overview of detection engineering that uses a medical diagnosis analogy to show how balancing detection **precision** and **broadness** influences **false positives/negatives**, analyst **confidence**, and overall **robustness**, arguing for a mix of highly specific rules and broader, context-enriched detections so SOCs catch more true threats without overwhelming responders.

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