Main Purpose
The main purpose of Fraud.net is to provide AI and machine learning solutions for fraud prevention and risk management.
Key Features
- Risk Score Assignment: Fraud.net's machine learning algorithms can assign a risk score to every transaction, quantifying the relative risk of fraud on a scale of 1 to 99.
- Actionable Insights: The AI tools provided by Fraud.net translate the risk scores into actionable insights, flagging transactions with high-risk scores for further investigation.
- Real-time Analysis: Fraud.net's solutions can analyze large volumes of transactions, account openings, and financial events in real-time and at scale, thanks to increased computer processing power.
- Deep Learning Techniques: Fraud.net's AI team specializes in deep learning techniques, utilizing artificial neural networks with multiple layers of interconnected neurons to analyze and detect fraud patterns.
- Global Risk Data: Fraud.net offers the benefit of tapping into their global risk data, which can be particularly valuable for data science teams focused on risk control.
Use Case
- Fraud Prevention: Fraud.net's AI and machine learning solutions are designed to help businesses across various industries prevent fraud and manage risks effectively.
- Risk Management: The tools provided by Fraud.net can assist businesses in managing and mitigating risks associated with fraudulent activities.
