
FraudNet
5.4#22 in payment fraud detection softwareWebAPI
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| Fact | FraudNet | Sift Payment Protection |
|---|---|---|
| Founded | FraudNet says its story began in 2016. | 2011 |
| Headquarters | New York, New York, United States | San Francisco, California, United States |
| Machine learning | FraudNet describes using supervised machine learning, anomaly detection, graph neural networks, and generative AI. | Sift uses a patented ensemble of AI and machine-learning models that retrain online as fraud patterns change. |
FraudNet suits large enterprises in payments, financial services, fintech, and commerce that need modular fraud, risk, and compliance tooling. It also fits teams requiring real-time scoring, custom rules, and third-party data connections.
It suits digital businesses and merchants managing payment fraud. It may be relevant to teams that want automated payment policies and tools for testing policy changes before launch.