Is Your Payment Processing Business Suffering from These Pain Points?
Transform your operations by addressing key challenges to minimize risks, reduce costs, and enhance merchant satisfaction and compliance.
Unmanaged Merchant Risk
Infrequent oversight lets high-risk merchants breach card-network rules, triggering fines and reputational damage for your processing business.
Manual Monitoring Processes
Analysts juggle spreadsheets and legacy tools, slowing investigations, inflating labor costs, and leaving gaps fraudsters exploit.
Chargebacks & Threshold Violations
Unchecked spikes in disputes, refunds, or velocity metrics lead to costly assessments and potential loss of acquiring relationships.
High False Positives
Rigid, one-size rules flag legitimate merchants, creating payout delays, service friction, and unnecessary operational spend.
Transform Merchant Risk Management with FraudNet Solutions
Enhance compliance, reduce fraud losses, and streamline operations to protect and grow your payment processing business.
Policy Monitoring Engine
Real-time rule checks slash fines and manual reviews.
Anomaly Detection Models
ML spots new fraud patterns before losses mount.
Merchant Threshold Customization
Tailored limits cut false positives and churn.
Unified Case Management
Single dashboard accelerates alert-to-resolution.
AI-Native Real-Time Detection
FraudNet's AI-driven system evaluates every transaction in milliseconds, seamlessly adapting to new threats. This ensures robust security without the burden of per-event fees, allowing you to maintain profitability while protecting your processing business from emerging fraud risks.
Customized Merchant Profiling
Our dynamic risk models adapt to each merchant's unique behavior, significantly reducing false positives and ensuring legitimate transactions flow smoothly. This precision not only minimizes disruptions but also maximizes your processing volume, enhancing both efficiency and customer satisfaction.
Integrated Alert-to-Resolution Workflow
Streamline your fraud investigations with our unified console that automates triage, evidence gathering, and reporting. By cutting investigation costs by up to 40%, you can efficiently resolve cases while protecting your bottom line and maintaining strong acquiring relationships.
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, among others. These tools use machine learning algorithms and rule-based systems to analyze transaction patterns, identify anomalies, and flag suspicious activities that may indicate fraud, helping payment processors to preemptively block fraudulent transactions.
How can payment processors minimize false positives in fraud detection?
To minimize false positives, payment processors can use advanced machine learning models that continuously learn from new data to improve accuracy. Implementing multi-layered verification processes, such as two-factor authentication and biometric verification, can also help. Additionally, fine-tuning detection rules and regularly updating fraud detection algorithms based on historical fraud patterns can further reduce false positives, ensuring legitimate transactions are not mistakenly flagged.
What role does machine learning play in preventing payment fraud?
Machine learning plays a crucial role in preventing payment fraud by analyzing vast amounts of transaction data in real-time. It can identify patterns and anomalies that signify fraudulent activity by continuously learning from each transaction. Machine learning models adapt to new fraud tactics and refine their predictions to enhance detection accuracy. This technology scales efficiently, allowing payment processors to manage large volumes of transactions without compromising detection speed or effectiveness.
Are there cost-effective fraud prevention solutions for small businesses?
Yes, there are several cost-effective fraud prevention solutions tailored for small businesses. Many providers offer scalable, cloud-based services with pay-as-you-go pricing models that require minimal upfront investment. These solutions often include essential features like real-time transaction monitoring, risk scoring, and customizable alerts. By leveraging these tools, small businesses can effectively manage fraud risks without bearing the high costs associated with enterprise-level systems.
How do tokenization and encryption help in reducing payment fraud?
Tokenization and encryption are critical in reducing payment fraud by protecting sensitive data. Tokenization replaces sensitive card information with non-sensitive tokens that are useless if intercepted by fraudsters. Encryption secures data during transmission, making it unreadable without the correct decryption keys. Together, these technologies ensure that payment data is protected both in transit and at rest, significantly reducing the risk of data breaches and fraud.
What are the key indicators of potential payment fraud?
Key indicators of potential payment fraud include unusual transaction patterns, such as multiple small transactions in a short period or a sudden spike in transaction volume. Other signs include discrepancies in shipping and billing addresses, transactions from high-risk locations, and frequent declines or chargebacks. Payment processors should also watch for mismatched IP addresses and inconsistent customer behavior to identify possible fraud attempts effectively.