What factors are contributing to the increased false positive rate in Claroty's Network Detection and Response (NDR) alerts during the last month?

Introduction

The increased false positive rate in Claroty's Network Detection and Response (NDR) alerts over the past month 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.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into product understanding, metric breakdown, and hypothesis generation. We'll then conduct a thorough root cause analysis, propose validation methods, and outline a comprehensive resolution plan.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent update to the NDR system. Has there been any significant software update or configuration change in the last 1-2 months?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, there was an update to the threat detection algorithms. Impact on approach: If confirmed, we'd focus on the update's impact on alert generation.

• Considering the nature of false positives, I'm curious about the current threshold settings. Have there been any adjustments to the alert sensitivity thresholds recently?

Why it matters: Threshold changes directly affect false positive rates. Expected answer: No changes to thresholds have been made. Impact on approach: If unchanged, we'd look at other factors affecting alert generation.

• Given the importance of data quality, I'm wondering about any changes in data sources. Have there been any new integrations or changes in data feeds to the NDR system?

Why it matters: Data source changes can significantly impact alert accuracy. Expected answer: A new threat intelligence feed was added last month. Impact on approach: If confirmed, we'd investigate the new feed's impact on alert generation.

• Thinking about user behavior, I'm curious if there have been any significant changes in network traffic patterns or user activities in the last month?

Why it matters: Changes in network behavior can trigger more false positives. Expected answer: No significant changes noted in overall network patterns. Impact on approach: If unchanged, we'd focus more on internal system factors rather than user behavior.