Are You Struggling with These Critical Payment Processing Challenges?
Gain control over fraud and compliance by addressing fragmented oversight, chargeback risks, manual assessments, and real-time visibility gaps.
Fragmented Merchant Oversight
Managing thousands of diverse merchants across multiple systems leaves PSPs blind to emerging fraud patterns and policy breaches, driving up operational risk.
Chargeback Exposure
High CNP volumes and refund abuse can push portfolios over network thresholds, triggering fines, increased reserve requirements, and reputational damage.
Manual KYB Risk Assessments
Spreadsheet-driven onboarding slows growth, misses hidden ownership links, and inflates compliance costs for small and mid-size merchant funnels.
Insufficient Real-Time Risk Visibility
Without a unified dashboard, PSPs discover fraud only after settlement, delaying intervention and allowing bad actors to cycle through stolen cards.
Transform Merchant Oversight with FraudNet's Advanced Solutions
Enhance oversight, reduce fraud, and streamline operations for Payment Service Providers with FraudNet's comprehensive solutions.
Policy Monitoring
Auto-enforce chargeback, refund, and velocity rules at merchant level.
Transaction Screening <100ms
Score every CNP and CP payment in real time to block fraud.
Automated KYB Screening
Layered identity, ownership, and behavior checks during onboarding.
Dynamic Risk Tiering
Continuously segment merchants by historic and live risk signals.
Enhanced Policy Monitoring
Set your thresholds just once, and let FraudNet do the heavy lifting. It alerts you to any merchant breaching chargeback, refund, or decline limits, ensuring you can take proactive action before network penalties impact your bottom line.
Instant Transaction Monitoring
Harness the power of AI-native scoring to instantly analyze hundreds of signals, effectively blocking fraudulent CNP and CP transactions. This rapid response system ensures fraud protection while maintaining a low false-positive rate, keeping your operations smooth and secure.
Streamlined KYB Screening
FraudNet revolutionizes your onboarding process by automating ownership verification, sanctions screening, and industry risk scoring. Effortlessly accelerate SMB onboarding while significantly reducing manual review expenses, enabling you to focus on scaling your payment services without compromising compliance or security.
Impact & Results
Delivering Results that Matter
We don’t just promise better fraud control—we deliver tangible improvements that protect your business.
97%
Fewer False Positives
Approve more valid transactions confidently.
88%
Fraud Reduction
Experience double-digit reductions in fraud-related chargebacks
60%
Cost Savings
Save time and resources while securing your revenue.
Why FraudNet
Future-Proof Your Fraud & Risk Program
With an integrated platform designed for precision, agility, and impactful results, enabling your team to make smarter decisions, improve operational efficiency, and fuel your business growth.
Customizable & Scalable
No-code rules engine, flexible dashboards, and tailor-made machine learning models that are designed to adapt seamlessly and scale alongside your business.
End-to-End Platform
Unify fraud detection, compliance, and risk management into one powerful solution, saving valuable time and streamlining your operations.
AI Precision You Can Rely On
Reduce false positives, detect and prevent more fraud, and mitigate risk with highly accurate, real-time risk scoring and anomaly detection you can trust.
Real-Time Fraud Intelligence
Leverage advanced analytics, comprehensive reporting, and our Global Anti-Fraud Network to make faster, smarter decisions on the spot.
Testimonials
Real Success From Real Teams
Fraud.net’s flexibility has helped our AfterPay business grow by allowing us to meet our increasingly complex customer and country requirements. Their platform has enabled Arvato to increase our agility and significantly reduce fraud attacks.
Director Risk & Fraud, Arvato
FraudNet's combination of customized machine learning and flexible rules management has been transformative. We've achieved dramatic efficiency gains while maintaining robust fraud protection - a game-changer as we navigate evolving regulatory requirements.
Head of Financial Crime, Countingup
The great usability of Fraud.net is night and day when comparing it to our prior risk prevention platform. Reporting is also faster, more straightforward, and more impactful. With Fraud.net, we can easily visualize and share findings, providing our leadership with a clear understanding of the return-on-investment for our activities in real-time.
Fraud Manager, Global Financial Institution
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FAQs
What types of payment fraud can detection software identify?
Detection software can identify various types of payment fraud, including credit card fraud, account takeover, phishing attacks, identity theft, and transaction laundering. It also detects unusual transaction patterns, location anomalies, and mismatched user credentials, helping to mitigate risks before they result in financial loss.
How does machine learning enhance fraud detection for PSPs?
Machine learning enhances fraud detection by analyzing vast amounts of transaction data to identify patterns and anomalies indicative of fraud. It continuously learns from new data, improving its predictive accuracy over time. This dynamic approach allows PSPs to detect and prevent fraudulent transactions in real-time, reducing false positives and improving overall security.
What are the cost benefits of implementing fraud detection solutions for PSPs?
Implementing fraud detection solutions offers significant cost benefits by reducing financial losses from fraudulent transactions. It minimizes chargeback fees, lowers operational costs related to manual reviews, and enhances customer trust. By preventing fraud, PSPs can also avoid potential legal and compliance costs, contributing to long-term financial stability.
How can PSPs ensure their fraud detection methods remain effective over time?
PSPs can ensure the effectiveness of their fraud detection methods by regularly updating their algorithms to adapt to new fraud techniques. Employing machine learning models that continuously learn from new data is crucial. Additionally, collaborating with industry peers, attending security conferences, and participating in fraud prevention networks can help stay informed about emerging threats and best practices.
What role does data analytics play in PSP fraud detection?
Data analytics plays a crucial role in PSP fraud detection by enabling the examination of large datasets to uncover hidden patterns and anomalies. It facilitates the real-time analysis of transactions, helping to identify suspicious activities quickly. By utilizing data analytics, PSPs can make informed decisions, enhance fraud prevention strategies, and improve the accuracy of their detection systems.
How do PSPs balance fraud detection with customer experience?
PSPs balance fraud detection with customer experience by using advanced algorithms that minimize false positives, ensuring legitimate transactions aren't mistakenly flagged. Implementing user-friendly authentication methods, such as biometric verification, enhances security while maintaining a seamless experience. Regularly communicating with customers about security measures and offering support during verification processes can also help maintain trust and satisfaction.