FraudNet
FraudNet is an AI-powered platform for fraud detection, risk management, and compliance, designed for large, complex enterprises.
What FraudNet is
FraudNet is an AI-powered platform for fraud detection, risk management, and compliance, designed for large, complex enterprises. It combines entity screening, ongoing entity monitoring, and real-time transaction monitoring for omnichannel use. Decision tools include a no-code rules engine, flexible dashboards, and machine-learning models tailored to a business. FraudNet describes supervised machine learning, anomaly detection, graph neural networks, and generative AI among its methods. Its Data Hub connects third-party data partners without code while allowing existing vendors to remain in use. Featured partners include ComplyAdvantage, LexisNexis, Plaid, Jumio, Experian, Ethoca, Veriff, and Twilio. A RESTful API supports payment-company integrations and can return real-time risk scores. FraudNet says data is encrypted at rest and in transit, including TLS 1.2+. The Trust Center lists GDPR, PCI DSS, SOC 2, HIPAA, NTIS, NIST 800-53, AWS, and ISO 27001 frameworks or certifications.
Good
- Entity screening and ongoing monitoring
- Real-time transaction risk scoring
- No-code rules and dashboards
- Third-party Data Hub connections
- RESTful payment integration API
Watch out
- Pricing is available on request
- Minimum monthly fees may apply
- Minimum fees are non-refundable
Who it suits
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.
Verdict
FraudNet brings screening, monitoring, decisioning, integrations, and compliance capabilities into one enterprise platform. Its custom pricing and possible minimum fees should be clarified before purchase.
Plans and prices
From FraudNet's own pricing page, checked 9 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Custom pricing | Priced on request | Fees depend on usage; minimum fees are non-refundable and cannot be rolled into a future period · Fees are set in a signed purchase order; a minimum monthly fee may apply. |
The facts
Each one read from FraudNet's own pages, with the date it was checked.
What it does
- API
- FraudNet offers a RESTful API for payment-company integration and says it can return real-time risk scores.checked 9 Oct 2026
- Capabilities
- The platform combines entity screening, ongoing entity monitoring, and real-time transaction monitoring.checked 9 Oct 2026
- Compliance
- The Trust Center lists GDPR, PCI DSS, SOC 2, HIPAA, NTIS, NIST 800-53, AWS, and ISO 27001 among its frameworks and certifications.checked 9 Oct 2026
- Data integrations
- Its Data Hub provides no-code connections to third-party data partners, and customers can keep using their existing vendors.checked 9 Oct 2026
- Decisioning
- The platform offers a no-code rules engine, flexible dashboards, and machine-learning models tailored to a business.checked 9 Oct 2026
- Integration partners
- Featured Data Hub partners include ComplyAdvantage, LexisNexis, Plaid, Jumio, Experian, Ethoca, Veriff, and Twilio.checked 9 Oct 2026
- Intended customers
- FraudNet describes its modular platform as designed for large, complex enterprises and lists payments, financial services, fintechs, and commerce among the industries it serves.checked 9 Oct 2026
- Product
- FraudNet provides an AI-powered platform for fraud detection, risk management, and compliance.checked 9 Oct 2026
- Security
- FraudNet says customer data is encrypted at rest and in transit using industry-standard methods such as TLS 1.2+.checked 9 Oct 2026
- Support
- The company lists +1 (800) 418-4420 for general inquiries and 24x7 support.checked 9 Oct 2026
The company
- Founded
- FraudNet says its story began in 2016.checked 9 Oct 2026
- Headquarters
- New York, New York, United Stateschecked 28 Sep 2026
Where it runs
- Machine learning
- FraudNet describes using supervised machine learning, anomaly detection, graph neural networks, and generative AI.checked 9 Oct 2026
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