Fraud Detection

Spot fraud in transactions using AI-powered anomaly detection and machine learning

Upload Transaction Data

Upload your transaction dataset to begin fraud analysis. Supported formats: CSV, Excel, JSON

💳

Click to upload transaction data

or drag and drop your file here

Detection Model Configuration

Select your fraud detection algorithm and configure sensitivity

🎯

Isolation Forest

Anomaly Detection

📊

Logistic Regression

Classification

🚀

XGBoost

Gradient Boosting

🧠

Neural Network

Deep Learning

Detection Parameters

Sensitivity: Medium

Medium

Threshold: 0.50

0.50

Analyze Transactions for Fraud

Analyzing transactions...

Fraud Detection Results

Analysis summary and flagged transactions

🚨

—

Fraudulent

⚠️

—

Flagged

✓

—

Legitimate

—

Accuracy

—

Precision

—

Recall

—

F1 Score

Flagged Transactions

Feature Importance

ROC Curve

AUC Score

0.94