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Company focus

Trellix

What factors are contributing to the sudden 30% increase in false positive alerts from Trellix's network security appliances in the last two weeks?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Technical Understanding Cybersecurity Enterprise Software IT Infrastructure Root Cause Analysis Product Troubleshooting Cybersecurity Network Security Trellix
Product Management Root Cause Analysis Question: Investigating sudden increase in false positive security alerts

Introduction

The sudden 30% increase in false positive alerts from Trellix's network security appliances over the past two weeks is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

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 there might have been a recent software update. Has there been any change to the appliance firmware or threat detection algorithms in the last month?

Why it matters: Software changes often introduce unexpected behaviors. Expected answer: Yes, a firmware update was rolled out three weeks ago. Impact on approach: If confirmed, we'd focus on the update's impact on alert generation.

  • Considering the scale of the increase, I'm wondering about changes in network traffic patterns. Have you noticed any significant shifts in network usage or user behavior recently?

Why it matters: Unusual traffic patterns could trigger more false positives. Expected answer: No major changes in overall network usage have been observed. Impact on approach: If true, we'd look more closely at the appliance's internal processes.

  • Given the specificity of the 30% increase, I'm curious about the alert types. Are these false positives concentrated in specific threat categories or distributed across all alert types?

Why it matters: Helps narrow down potential causes to specific detection mechanisms. Expected answer: The increase is primarily in malware and intrusion detection alerts. Impact on approach: We'd focus on these specific detection algorithms and their recent changes.

  • Thinking about external factors, have there been any recent changes in the threat landscape or known issues with threat intelligence feeds?

Why it matters: External data sources can significantly impact false positive rates. Expected answer: No major changes in threat intelligence sources have been reported. Impact on approach: We'd shift focus to internal factors if external sources are stable.

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Updated Jan 22, 2025