Introduction
The sudden spike in false positive alerts from Lacework's File Integrity Monitoring (FIM) system yesterday presents a critical issue that requires immediate attention and thorough analysis. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term implications for our product ecosystem.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, a minor update was deployed yesterday morning. Impact on approach: If confirmed, we'd focus on the update's contents and rollout process.
Why it matters: Different types of false positives may point to distinct root causes. Expected answer: The false positives are primarily related to benign system file changes. Impact on approach: This would guide our investigation towards system file monitoring logic.
Why it matters: The magnitude of the increase helps prioritize the issue and narrow down potential causes. Expected answer: We've seen a 500% increase in false positives. Impact on approach: A dramatic increase would suggest a systemic issue rather than gradual degradation.
Why it matters: External changes could trigger unexpected behavior in our system. Expected answer: No significant changes reported from major customers. Impact on approach: This would shift our focus more towards internal factors.
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