What caused the sudden spike in false positive alerts from Dataminr's Corporate Security solution last week?

Introduction

The sudden spike in false positive alerts from Dataminr's Corporate Security solution last week presents a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent system update. Has there been any software deployment or configuration changes in the past week?

Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, a minor update was pushed last Tuesday. Impact on approach: If confirmed, we'd focus on the update's components and rollback considerations.

• Considering the nature of false positives, I'm curious about the alert criteria. Have there been any modifications to the alert thresholds or data sources recently?

Why it matters: Changes in alert criteria could directly impact false positive rates. Expected answer: No changes to criteria, but we added a new data source last month. Impact on approach: We'd investigate the integration and quality of the new data source.

• Given the specificity of "Corporate Security," I'm wondering about the affected customer segments. Are we seeing this spike across all clients or is it concentrated in specific industries or company sizes?

Why it matters: Segmentation could reveal patterns tied to specific use cases or data types. Expected answer: The spike is more pronounced in financial and tech sectors. Impact on approach: We'd analyze these sectors' unique characteristics and data patterns.

• Thinking about system health, I'm concerned about potential infrastructure issues. Have we observed any unusual patterns in system performance or data processing speeds?

Why it matters: Infrastructure problems can cascade into data quality issues. Expected answer: Some latency spikes were noted but deemed within normal range. Impact on approach: We'd scrutinize the correlation between latency and false positives.