FraudNet vs. IPQS
A side-by-side comparison based on G2 review data.
| Metric | FraudNet | IPQS |
|---|---|---|
| Overall rating | 4.6 | 4.6 |
| Review count | 36 | 116 |
| Ease of use | 9.0 | 9.3 |
| Ease of setup | 9.0 | 9.0 |
| Quality of support | 9.2 | 9.2 |
| Meets requirements | 9.0 | 9.2 |
| NPS | 69.444444 | 77.586207 |
| Small Business | 44.4% | 62.9% |
| Mid-Market | 38.9% | 25.0% |
| Enterprise | 16.7% | 12.1% |
| Total page views | 353 | 756 |
| Total LLM citations | 478 | 7,146 |
FraudNet
FraudNet is an AI-native fraud, risk, and compliance management software platform that helps financial institutions, fintechs, payment processors, and enterprise organizations detect and prevent fraud, manage risk exposure, monitor merchant compliance, and meet regulatory requirements in real time. Designed for fraud operations teams, risk managers, compliance officers, and data scientists, FraudNet provides a unified platform that consolidates fraud detection, anti-money laundering (AML), KYB entity screening, sanctions and PEP screening, merchant risk monitoring, and transaction monitoring
- User Interface
- Ease of Use
- Customization
- Rule Customization
- Geolocation Search
- Features
IPQS
IPQS is a fraud prevention and threat intelligence platform that helps businesses detect and stop fraud in real time. Device fingerprinting, IP reputation analysis, and email and phone validation combine into actionable risk signals that prevent account takeover, fake account creation, payment fraud, bot abuse, and other forms of online fraud. The difference is the data. Over 10,000 honeypot sensors across the web feed exclusive intelligence on human-like bots, residential proxies, low-quality emails, and stolen user data — updated continuously rather than on a monthly refresh.
- Accuracy
- Fraud Detection
- Accuracy of Information
- Data Accuracy
- Reliability
- Fraud Prevention