Features
- Dynamic Real-Time Risk Scores: Quantify the relative risk of fraudulent activity for any event with real-time risk scores, providing a nuanced understanding scored on a scale of 1 to 99.
- Transparency through Clear Explainability: Gain insights into the most influential factors driving your model’s risk score, ensuring a clear understanding and empowering more informed decision-making.
- Continuous Monitoring Vigilance: Safeguard against model degradation and drift as customer patterns evolve and market conditions change, ensuring your fraud prevention efforts remain proactive and effective.
- Optimized Fraud Prevention Workflows: Make data-driven decisions, enhance model explainability, streamline investigations, and detect sophisticated patterns of fraud with optimized workflows.
Use Cases:
- Success Story: Banking Automation in Fraud Investigations: Fraud.net’s AI-powered risk-detection software revolutionized a bank’s operations, reducing transactions sent for manual review, resulting in accurate risk-score predictions, reduced fraud investigation hours, and increased overall efficiency gains.
Fraud.net’s AI and machine learning models bring accuracy to risk scoring, transparency through clear explainability, continuous monitoring, and optimized workflows, providing businesses with the tools to effectively combat fraud.
