Fraud Detector

Fraud detection analyzes anomalous patterns, transaction velocity spikes, and geographic inconsistencies across accounts to assign a risk score. It evaluates these signals to flag suspicious financial activity for operational investigation.

Velocity analysis identifies fraud by detecting abnormal transaction frequencies, such as rapid duplicate charges or spending spikes within a short timeframe. Monitoring these velocity changes helps catch suspicious behaviors that deviate from typical account activity.

Daily fraud summary reporting aggregates flagged transactions to produce structured outputs including risk levels, confidence percentages, and red flags. It generates actionable escalation recommendations for critical-risk activity to support investigation workflows.

Geographic anomaly detection flags transaction fraud by identifying geographic inconsistencies, such as impossible travel distances between sequential transactions. It applies this geographic analysis to catch fraudulent behaviors that contradict legitimate account patterns.

Transaction monitoring protects sensitive financial details while producing structured risk assessments. It evaluates anomalous patterns to generate objective findings, red flags, and confidence percentages without exposing vulnerable account information.

Scoring transaction risk levels involves analyzing anomalous patterns and velocity to assign a low, medium, high, or critical risk rating. This process generates clear fraud alerts with reasoning, confidence percentages, and escalation recommendations.