Why has Panther's automated threat detection for S3 buckets flagged 3x more false positives than usual this month?

Introduction

Panther's automated threat detection for S3 buckets has flagged 3x more false positives than usual this month, indicating a significant shift in our system's performance. This issue requires a thorough investigation to identify the root cause and implement effective solutions. I'll approach this problem systematically, focusing on data analysis, hypothesis generation, and validation to ensure we address the underlying issues rather than just treating symptoms.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent update to our detection algorithms. Has there been any change to our threat detection models or rules in the past month?

Why it matters: Recent changes could directly impact false positive rates. Expected answer: Yes, there was a minor update to improve sensitivity. Impact on approach: If confirmed, we'd focus on fine-tuning the recent changes.

• Considering user behavior, I'm curious about any changes in S3 bucket usage patterns. Have we seen any significant increase in new S3 bucket creations or changes in access patterns recently?

Why it matters: Unusual activity could trigger more false positives. Expected answer: There's been a 20% increase in new bucket creations. Impact on approach: We'd investigate if new buckets are disproportionately flagged.

• Thinking about our infrastructure, I'm wondering if there have been any changes to our logging or monitoring systems. Have we implemented any new data collection methods or changed our logging frequency?

Why it matters: Changes in data collection could affect our detection accuracy. Expected answer: No significant changes to logging systems. Impact on approach: We'd focus more on the detection algorithm itself.

• Considering external factors, I'm curious about any recent security advisories or threats. Have there been any notable cybersecurity events or new threat vectors identified in the past month?

Why it matters: External events might have prompted overly cautious detection settings. Expected answer: A few minor advisories, but nothing major. Impact on approach: We'd evaluate if our response to advisories was proportionate.