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Tuning Anti-Patterns

Common bad habits in detection tuning, suppressing whole rules, broad exclusions, untracked changes, that reduce noise short-term but degrade detection coverage and program credibility over time.

Tuning anti-patterns are the easy moves that solve the wrong problem: muting a noisy rule entirely instead of refining it, adding broad exclusions that hide too much, applying changes without documentation, declaring detections 'too noisy' without analysis. They reduce alert volume at the cost of coverage and produce silent gaps later. As a detection-engineering topic, recognizing anti-patterns is what keeps tuning a constructive practice rather than detection erosion in disguise.

Introduced in: Detection Engineering

Examples

  • Muting a whole rule rather than refining it to reduce noise without lost coverage.
  • Adding broad exclusions that hide both noise and real threats.
  • Making tuning changes without documenting what changed and why.