Introduction
The recent 15% drop in the detection rate for insider threats in Darktrace's Enterprise Immune System is a critical issue that demands immediate attention. This analysis will systematically explore potential root causes, generate data-driven hypotheses, and propose a comprehensive plan to address the problem. We'll examine both internal and external factors, considering technical, user behavior, and product-related aspects to ensure a holistic approach.
Framework overview
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 could directly impact detection capabilities. Expected answer: Yes, there was a minor update two weeks ago. Impact on approach: If confirmed, we'd focus on the update's impact on detection algorithms.
Why it matters: Evolving threat patterns could outpace current detection methods. Expected answer: No significant changes observed in threat patterns. Impact on approach: If true, we'd look more closely at internal system issues.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement methodology. Impact on approach: If confirmed, we'd focus on actual detection capabilities rather than reporting issues.
Why it matters: Changes in usage patterns could affect detection effectiveness. Expected answer: Some customers have expanded their remote workforce. Impact on approach: If true, we'd investigate how remote work impacts our detection capabilities.
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