Are Cross-Border Transactions Increasing Your Compliance and Fraud Risks?
Mitigate regulatory risks and fraud threats while streamlining operations and reducing costs in your cross-border payment processes.
Heightened AML Compliance Burden
You must align every cross-border payment with shifting FATF, OFAC, and regional mandates, driving up legal exposure, documentation work, and operating costs.
Limited Visibility Into End-User Identity
Sparse or conflicting sender-receiver data across jurisdictions makes verifying true identities difficult, increasing false positives and missed fraud.
Money-Laundering & Mule Account Risk
Sophisticated rings exploit international rails and mule networks to cycle illicit funds, forcing your team to chase hidden patterns across borders.
Transaction Laundering Threats
Fraudsters disguise merchant activity or route payments through shell storefronts, exposing you to sanctions, fines, and brand damage.
FraudNet: Transforming Compliance with Intelligent Solutions
Streamline compliance and reduce fraud exposure with real-time insights tailored for cross-border payment companies.
Ongoing AML & Sanctions Screening
Re-screening keeps counterparties compliant and flags newly sanctioned entities.
Real-Time Transaction Monitoring
Millisecond risk scoring spots abnormal device, geo, or velocity patterns before funds move.
Policy Monitoring Engine
Automated policy checks detect excess refunds, chargebacks, or volume spikes in real time.
Entity Risk Analytics (KYB)
Multi-source KYB scoring uncovers fake, mismatched, or synthetic businesses at onboarding.
AI-Native Real-Time Detection
FraudNet evaluates every cross-border transaction in milliseconds, seamlessly intercepting high-risk payments while ensuring smooth legitimate transactions. Enhance your payment security without compromising speed, allowing you to focus on growth and customer satisfaction in the complex world of international finance.
Unified Compliance & Policy Console
Streamline your compliance with our all-in-one dashboard. Effortlessly set risk rules, track chargebacks, and generate audit-ready reports without juggling multiple tools. Simplify operations and gain full control over your cross-border transactions with unparalleled efficiency and precision.
Scalable Global KYB Analytics
Harness FraudNet’s comprehensive global entity screening to streamline your merchant onboarding process. Expedite legitimate entities while effectively eliminating synthetic ones, ensuring your cross-border transactions are both swift and secure. Embrace efficiency without compromising on 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, among others. These tools analyze transaction patterns, user behavior, and other data points to flag potentially fraudulent activities, enabling companies to take preventive measures before financial losses occur.
How does cross-border fraud detection differ from domestic fraud detection?
Cross-border fraud detection involves additional complexities such as currency conversion, varying regulations, and multicultural behavior patterns. Tools must adapt to diverse data sets and transaction behaviors across different countries. They often incorporate advanced algorithms to handle these complexities, providing more robust protection by understanding international fraud trends and using global threat intelligence to detect anomalies more effectively.
What are the key features to look for in cross-border fraud detection tools?
Key features include real-time monitoring, machine learning capabilities, comprehensive data analysis, and seamless integration with existing systems. Tools should also offer customizable risk scoring, multi-language support, and compliance with international regulations. Additionally, they should provide detailed reporting and analytics to help businesses understand fraud trends and make informed decisions about enhancing their security measures.
How can machine learning improve the accuracy of fraud detection in cross-border transactions?
Machine learning enhances fraud detection by analyzing large volumes of data to identify patterns and anomalies that may indicate fraudulent activity. In cross-border transactions, it can adapt to new fraud techniques by learning from historical data and evolving threats. This allows for more precise detection, reducing false positives and enabling quicker, more accurate responses to potential fraud, thereby improving overall security and customer trust.
What role does data privacy play in cross-border fraud detection?
Data privacy is crucial in cross-border fraud detection as it involves handling sensitive information across different jurisdictions with varying privacy laws. Companies must ensure compliance with regulations like GDPR, ensuring data is collected, processed, and stored securely. Effective fraud detection tools should have robust privacy features, such as data encryption and anonymization, to protect customer information while effectively identifying fraudulent activities.
How can businesses keep up with evolving fraud tactics in cross-border transactions?
Businesses can stay ahead of evolving fraud tactics by implementing advanced fraud detection tools that use real-time analytics and machine learning. Regularly updating these tools and educating employees about the latest fraud trends and prevention strategies is essential. Collaborating with industry peers and participating in global fraud intelligence networks can provide valuable insights into emerging threats, helping businesses adapt their security measures proactively.