Rule Lifecycle And Tuning

Operator writes an aggressive new BEC rule and is about to enable it in active/blocking mode directly on production mail.

Backtest the rule against recent historical messages first (Sublime supports running a rule retroactively over stored mail), inspect the would-have-matched set for false positives, then roll out in a passive / flag-only mode before promoting to an active action. Never enable a blocking action on an…

A rule false-positives on the company's own marketing-automation sender. Operator's instinct is to disable the rule entirely.

Add a narrowly-scoped exclusion (e.g. an additional boolean clause or an exclusion list keyed on the verified sending domain + DKIM-authenticated identity) rather than disabling the whole rule. Keep exclusions auditable and specific so an attacker spoofing the marketing domain is not auto-allowed. …

Analysts triage detections and mark some as false positive in the review queue. Operator never feeds those verdicts back into rule tuning.

Close the loop: periodically review analyst false-positive / true-positive verdicts and use them to refine the offending rules (add exclusions, raise confidence thresholds, retire dead rules). Track per-rule precision over time so a decaying rule is caught. Verdicts are tuning signal, not just tria…