[Rule Tuning] AWS EventBridge Rule Disabled or Deleted

[imays11]

Pull Request

Issue link(s):

• https://github.com/elastic/ia-trade-team/issues/616

Summary - What I changed

There was a mistake in the query for this rule. It was looking for event.provider: eventbridge.amazonaws.com instead of events.amazonaws.com. So we have no existing telemetry for this rule. However, I have tested the behavior properly and ensured the new query does alert as expected. I will monitor this rule in telemetry moving forward to gauge it's performance.

• query change event.provider: events.amazonaws.com
• reduced execution window
• updated description, FP and IG sections
• updated tags
• added highlighted fields

How To Test

Script for testing : trigger_impact_aws_eventbridge_rule_disabled_or_deleted.py
Data is in our stack to run this query against

screenshots of the correct event.provider value for these API calls, and the Alert triggering as expected once this change was made in the stack

[github-actions]

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.