Is Your Business Struggling with These Merchant Risk Challenges?
Identify and mitigate merchant risks swiftly to prevent financial losses, enhance relationships, and ensure compliance with industry standards.
High Chargeback Exposure
Excessive chargebacks drive direct losses, network fines, and strained acquirer–merchant relations.
Onboarding Risk of High-Risk Merchants
Limited real-time KYB lets illicit or non-compliant merchants enter your portfolio unnoticed.
Fraudulent Transactions Across Portfolios
CNP fraud spreads quickly across merchants when acquirers lack instant, portfolio-wide insight.
Lack of Merchant Behavior Visibility
Sparse data and siloed tools mask sudden refund spikes, volume shifts, or policy breaches.
Enhance Security with FraudNet's Cutting-Edge Solutions
Enhance security and streamline operations by proactively managing merchant risks with real-time insights.
Merchant Policy Monitoring
Track chargebacks, refunds, and sales thresholds in real time.
KYB Risk Scoring
Score new and existing merchants with live identity and behavior data.
Transaction Monitoring in Milliseconds
Apply AI-native scoring to every CP and CNP authorization.
Unified Merchant Dashboard
See portfolio risk, trends, and alerts in one console.
AI-Native Real-Time Detection
FraudNet's AI-driven technology instantly identifies suspicious merchants and transactions, effectively curbing fraud before settlement. This rapid detection not only safeguards your portfolio but also enhances trust with merchants and regulators, ensuring smooth operations and protecting your bottom line.
Operational Efficiency
Streamline your operations with advanced automation that significantly reduces false positives, allowing your risk teams to dedicate their expertise to high-value investigations. Enhance efficiency, minimize unnecessary disruptions, and ensure your focus remains on strategic growth and protecting your portfolio.
Regulatory Confidence
Ensure compliance and mitigate risks with our built-in audit trails and precise rule controls. Stay ahead of regulatory demands and avoid costly scheme penalties, giving you the confidence to focus on expanding your portfolio without the worry of compliance issues.
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
Speak with our Solutions Expert Today
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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 algorithms and machine learning to detect unusual patterns and flag potentially fraudulent transactions, helping acquirers to take early action and mitigate financial losses.
How does machine learning help in preventing fraud losses?
Machine learning helps in preventing fraud losses by analyzing vast amounts of transaction data to identify patterns that suggest fraudulent activity. It continuously learns from new data, improving its accuracy over time. For acquirers, this means faster, more accurate detection of fraud attempts, allowing for prompt intervention and reducing the risk of major financial losses.
What role does transaction monitoring play in fraud prevention?
Transaction monitoring is crucial in fraud prevention as it involves the real-time or near-real-time analysis of transactions to detect suspicious activity. For acquirers, effective transaction monitoring can help identify unusual patterns or behaviors that may indicate fraud, enabling them to act quickly to prevent losses and protect both merchants and cardholders.
Why is it important for acquirers to educate merchants on fraud prevention?
It's important for acquirers to educate merchants on fraud prevention because informed merchants are better equipped to recognize and respond to fraudulent activities. By understanding potential risks and preventive measures, merchants can implement effective safeguards, reducing the likelihood of fraud and minimizing losses for both themselves and the acquirers who process their transactions.
How can acquirers balance fraud prevention with customer experience?
Acquirers can balance fraud prevention with customer experience by implementing fraud detection measures that are unobtrusive and efficient. Using advanced technologies like machine learning and AI, acquirers can accurately identify fraud with minimal false positives, ensuring legitimate transactions are processed smoothly. Additionally, clear communication and support can help maintain customer trust, even when extra verification steps are necessary.
What are the key indicators of potential fraud that acquirers should watch for?
Key indicators of potential fraud include unusual transaction patterns, such as a sudden spike in transaction volume or value, transactions from high-risk locations, and mismatched billing and shipping addresses. Acquirers should also be alert to repeated declined transactions, multiple transactions on a single card in a short period, and discrepancies in customer information, all of which could signal fraudulent activity.