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@w0rk3r w0rk3r commented May 9, 2025

Issues

Resolves #4541

Summary

Convert this rule to new_terms to reduce FP volume.

Removed the IG so we can generate a new one in the release prep that is better tailored to the logic.

@w0rk3r w0rk3r self-assigned this May 9, 2025
@w0rk3r w0rk3r added Rule: Tuning tweaking or tuning an existing rule OS: Windows windows related rules Domain: Endpoint backport: auto labels May 9, 2025
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github-actions bot commented May 9, 2025

Rule: Tuning - Guidelines

These guidelines serve as a reminder set of considerations when tuning an existing rule.

Documentation and Context

  • Detailed description of the suggested changes.
  • Provide example JSON data or screenshots.
  • Provide evidence of reducing benign events mistakenly identified as threats (False Positives).
  • Provide evidence of enhancing detection of true threats that were previously missed (False Negatives).
  • Provide evidence of optimizing resource consumption and execution time of detection rules (Performance).
  • Provide evidence of specific environment factors influencing customized rule tuning (Contextual Tuning).
  • Provide evidence of improvements made by modifying sensitivity by changing alert triggering thresholds (Threshold Adjustments).
  • Provide evidence of refining rules to better detect deviations from typical behavior (Behavioral Tuning).
  • Provide evidence of improvements of adjusting rules based on time-based patterns (Temporal Tuning).
  • Provide reasoning of adjusting priority or severity levels of alerts (Severity Tuning).
  • Provide evidence of improving quality integrity of our data used by detection rules (Data Quality).
  • Ensure the tuning includes necessary updates to the release documentation and versioning.

Rule Metadata Checks

  • updated_date matches the date of tuning PR merged.
  • min_stack_version should support the widest stack versions.
  • name and description should be descriptive and not include typos.
  • query should be inclusive, not overly exclusive. Review to ensure the original intent of the rule is maintained.

Testing and Validation

  • Validate that the tuned rule's performance is satisfactory and does not negatively impact the stack.
  • Ensure that the tuned rule has a low false positive rate.
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tradebot-elastic commented May 9, 2025

⛔️ Test failed

Results
  • ❌ Unusual Scheduled Task Update (kuery)
    • coverage_issue: no_rta
    • stack_validation_failed: no_rta
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tradebot-elastic commented May 19, 2025

⛔️ Test failed

Results
  • ❌ Unusual Scheduled Task Update (kuery)
    • coverage_issue: no_rta
    • stack_validation_failed: no_rta
@shashank-elastic shashank-elastic merged commit 9af2bf4 into main May 19, 2025
11 checks passed
@shashank-elastic shashank-elastic deleted the rt_2 branch May 19, 2025 16:21
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Labels

backport: auto Domain: Endpoint OS: Windows windows related rules Rule: Tuning tweaking or tuning an existing rule

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