Powerful Technology. Impressive Results.
Combine your data with our powerful custom Machine Learning Models to generate more accurate outcomes, fewer false positives and solve your organization’s unique challenges.
Increase Approvals
Reduce False Positives
Decrease Fraud
Automate Workflows
Make Informed, Intelligent Decisions – Faster
Fraud.net AI & Machine Learning Models use deep learning, neural networks and proprietary data science methodology to provide our partners with:
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.
Optimize Your Fraud Prevention Workflows
Make Data-Driven Decisions
Quantify the relative risk of fraud for every event, scored on a scale of 1 to 99, and translate it into action.
Explain Your Model
Understand the most powerful factors driving your model’s risk scores so you can make more informed decisions and take the right next step.
Streamline Your Investigations
Auto-approve low-risk activities, while auto-canceling the riskiest ones to reduce the number of cases your fraud analysts manually review.
Flag Sophisticated Patterns Of Fraud
Manual reviews can miss fraud when too subtle to be detected by the human eye.
Case Study:
Bank Automates Fraud Investigations, Accelerates Cost-Savings
For years, a leading global bank relied on a 24/7 team of fraud investigators to manually review more than 12,000 credit and debit card transactions each month. Fraud.net’s AI-powered risk-detection software halved the total number of transactions sent for manual review by flagging only the riskiest transactions for further investigation.
The Result:
99.5%+
Accurate
Risk-score Predictions
66%
Reduction
in Fraud Investigation Hours
4X
Increase
in the Amount of Fraud Proactively Detected
5X
Increase
in Annual Savings from Reduced Fraud Losses & Efficiency Gains.
” We wanted to make sure we were using all the tools available in the industry, so we made the jump to Fraud.net’s machine learning. There’s just a lot of data that a computer can analyze that my clients can’t.”
Interested In Learning More?
See our Technology in Action.