AI-Powered Fraud Detection in Real-Time

Detect and prevent fraudulent claims, transactions, and activities using machine learning and behavioral analytics.

How It Works

1. 1

   Data Collection

   Aggregate data from multiple sources in real-time

2. 2

   Pattern Analysis

   ML models analyze behavioral patterns and anomalies

3. 3

   Risk Scoring

   Each transaction or claim receives a fraud risk score

4. 4

   Alert Generation

   High-risk items are flagged for immediate review

5. 5

   Feedback Loop

   Investigation outcomes improve model accuracy

Key Metrics