Fraud.net

Fraud.net AI & Machine Learning Models Overview

Fraud.net AI & Machine Learning Models is a powerful technology that combines your data with custom machine learning models to generate accurate outcomes and fewer false positives. It helps organizations to make informed, intelligent decisions faster. The tool provides real-time risk scores, clear explainability, and continuous monitoring. It optimizes fraud prevention workflows by making data-driven decisions, explaining your model, streamlining investigations, and flagging sophisticated patterns of fraud. A case study shows that a leading global bank has significantly reduced fraud investigation hours and increased annual savings from reduced fraud losses and efficiency gains by using Fraud.net’s AI-powered risk-detection software.

Fraud.net AI & Machine Learning Models Highlights

• Real-Time Risk Scores: Quantify the relative risk of fraudulent activity for any event, scored on a scale of 1 to 99.
• Clear Explainability: Understand the most powerful factors driving your model’s risk score so you can make more informed decisions and take the right next step.
• Continuous Monitoring: Guard against model degradation and drift as customer patterns evolve & market conditions change.