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Company focus

Lacework

What caused the sudden spike in false positive alerts from Lacework's File Integrity Monitoring (FIM) system yesterday?

Prepared by NextSprints

15 mins
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Problem-Solving Data Analysis Technical Understanding Cybersecurity Cloud Computing Enterprise Software Data Analysis Root Cause Analysis Product Troubleshooting Cybersecurity Cloud Security
Product Management Root Cause Analysis Question: Investigating sudden increase in false positive alerts for cloud security system

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.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be related to a recent system update. Has there been any recent changes to the FIM system or related components?

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.

  • Considering the nature of false positives, I'm wondering about the specificity of these alerts. Can you provide more details on the types of false positives we're seeing?

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.

  • Given the sudden nature of the spike, I'm curious about the scale. What's the percentage increase in false positives compared to our baseline?

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.

  • Thinking about potential external factors, have there been any significant changes in customer environments or usage patterns?

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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Updated Mar 29, 2025