Fraud Detection Service (v0.0.1)

Analyzes payment transactions for fraudulent activity and risk assessment

Service

Overview

The Fraud Detection Service is responsible for analyzing payment transactions in real-time to detect potential fraudulent activity. It uses machine learning models and rule-based systems to assess risk and prevent financial losses.

Key Features

  • Real-time Transaction Analysis: Analyzes transactions as they occur
  • Machine Learning Models: Uses ML to identify suspicious patterns
  • Risk Scoring: Calculates risk scores for each transaction
  • Automated Blocking: Can automatically block high-risk transactions
  • Manual Review Queue: Flags medium-risk transactions for manual review

API Endpoints

REST API

  • POST /api/fraud/check - Submit transaction for fraud check
  • GET /api/fraud/risk-score/{transactionId} - Get risk score for transaction
  • PUT /api/fraud/override/{transactionId} - Manual override of fraud decision

Configuration

fraud_detection:
  risk_thresholds:
    high: 80
    medium: 50
    low: 20
  auto_block_threshold: 90
  ml_model_version: "2.3.1"
Event-driven architecture documentation: FlowMart