Analytics

Paymongo FraudDetector (FD) provides fraud teams with a robust dashboard and comprehensive scoring data, enabling deep fraud analysis and informed decision-making.

Real-Time Risk Scoring and Explanations

• Dashboard Overview:
  The FD dashboard displays real-time risk scores for every transaction, alongside details of the factors contributing to each score. Example risk drivers include:
  • Unusual transaction amounts
  • Geolocation mismatches
  • Suspicious transaction origin
  • High-risk email domains

Segmentation and Trend Monitoring

• Segment Transactions:
  Filter and group transactions by risk level (e.g., low, medium, high) to quickly surface patterns and anomalies.
• Trend Analysis:
  Track risk levels and fraud signals over time, helping you spot emerging threats or seasonal spikes in fraudulent activity.

Deep Dive and Case Investigation

• Drill Down on High-Risk Cases:
  Inspect individual transactions flagged as high-risk to understand the specific signals and rules triggered.
• Score Explanations:
  Review transparent, feature-level breakdowns to see which factors most influenced the decision, supporting confident manual reviews.

Historical Pattern Comparison

• Fraud Pattern Analysis:
  Compare current fraud trends to historical data to uncover shifts in tactics or vulnerabilities.
• Proactive Strategy Optimization:
  Use insights to proactively refine your fraud prevention approach, adapting to new threats and minimizing manual workload.