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Tuning & False-Positive Reduction — From Noisy to Trusted
intermediate 3h
Run an FP-reduction loop on a noisy detection and ship a measurably-improved version with documented precision delta.
After this module you will
- › Distinguish false positives from benign-true-positives
- › Apply allow-list patterns by user, host, and process tree
- › Use enrichment (asset criticality, identity tier, geo, threat intel) to reduce noise
- › Measure tuning impact with precision deltas and alert-volume curves
- › Predict the effect of a tuning change on MTTD
Lessons
1 Classifying False Positives — The FP Triage Process
20 min 2 Allow-List Patterns — Writing Exclusions That Don't Open Blind Spots
25 min 3 Enrichment for Context — Reducing Analyst Burden Without Suppressing Alerts
25 min 4 Measuring Tuning Impact — Precision Deltas and MTTD Models
25 min Module Quiz
Test your knowledge before moving on.