What factors are contributing to the sudden 30% increase in false positives for FICO® Falcon Fraud Manager in the last month?

Introduction

The sudden 30% increase in false positives for FICO® Falcon Fraud Manager over the last month is a critical issue that demands immediate attention. This unexpected spike in false positives not only impacts customer experience but also threatens the integrity of the fraud detection system. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent system update. Has there been any significant change to the Falcon Fraud Manager system in the past 1-2 months?

Why it matters: System changes often correlate with performance shifts. Expected answer: Yes, there was a recent update. Impact on approach: If confirmed, we'd focus on post-update system behavior.

• Considering the scale of the increase, I'm wondering about data quality. Have there been any changes in data sources or data processing pipelines recently?

Why it matters: Data integrity is crucial for accurate fraud detection. Expected answer: No major changes reported. Impact on approach: If no changes, we'd look more closely at model behavior and external factors.

• Given the nature of fraud patterns, I'm curious about any recent large-scale fraud attempts. Have you noticed any unusual patterns or spikes in actual fraud attempts recently?

Why it matters: Fraudsters' tactics evolving could trigger false positives. Expected answer: Some increase in sophisticated fraud attempts. Impact on approach: If confirmed, we'd investigate model sensitivity adjustments.

• Thinking about user behavior, have there been any significant changes in transaction patterns or volumes in the last month?

Why it matters: Shifts in user behavior can impact model accuracy. Expected answer: Holiday season has started, increasing transaction volumes. Impact on approach: We'd analyze how the model handles increased transaction loads.