Is Your Payment System Bogged Down by These Pain Points?
Streamline your payment processes, enhance compliance, and reduce costs by addressing key operational challenges with innovative solutions.
Excessive False-Positive Alerts
Static, rule-based screens misread currency conversions and regional spend patterns, forcing analysts to review huge volumes of legitimate cross-border transactions and slowing payment flows.
Fragmented Global Regulations
Varying KYC, AML, and sanctions rules across jurisdictions create compliance blind spots and increase the risk of costly fines or blocked payments when requirements shift.
Evasive Multi-Jurisdiction Fraud
Sophisticated rings move funds through multiple countries and data silos, making it hard to link related events and identify coordinated attacks in time.
Costly Manual Investigations
Human triage across disparate systems extends case cycles, inflates labor spend, and delays legitimate customer payouts—damaging user experience and margins.
FraudNet: Revolutionizing Transaction Security and Compliance
Streamline compliance and fraud detection, boosting efficiency and security for cross-border payment companies.
AI-Native Transaction Scoring
Millisecond risk scores cut false positives and surface hidden anomalies.
Automated AML & Sanctions Screening
Continuously checks global lists, eliminating manual lookups and errors.
Unified Global Data Network
Links consortium intelligence to expose cross-border fraud rings fast.
AI-Enhanced Case Management
Prioritizes, routes, and documents investigations in one audit-ready console.
Precision Without Friction
FraudNet's adaptive models intelligently learn local spending patterns, slashing false positives by up to 90%. This ensures that legitimate cross-border transactions flow seamlessly, enhancing payment efficiency and customer satisfaction for cross-border payment companies navigating complex international markets.
Always-On Compliance
Stay ahead of ever-changing regulations effortlessly. Our real-time screening leverages global datasets to automate KYC, AML, and sanctions checks, ensuring compliance without the hassle. Minimize overhead while seamlessly adapting to evolving standards, keeping your cross-border transactions smooth and secure.
End-to-End Efficiency
Streamline your operations with our all-in-one platform that seamlessly integrates detection, case management, and reporting. Experience up to a 50% reduction in investigation time, analyst workload, and operational expenses, enhancing efficiency across your cross-border payment processes.
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 is cross-border automated fraud triage?
Cross-border automated fraud triage is a systematic process used to identify, assess, and prioritize potential fraudulent activities in international transactions. This involves using advanced algorithms and machine learning models to analyze transaction data across different countries and currencies, enabling faster and more accurate detection of fraudulent patterns and anomalies. This approach helps streamline the investigation process and enhances the ability of organizations to respond to fraud threats efficiently.
Why is cross-border fraud detection more challenging than domestic fraud detection?
Cross-border fraud detection is more challenging due to factors such as variations in regulatory environments, differences in transaction data formats, multiple currencies, and diverse payment methods. Additionally, fraudsters often exploit these complexities to conceal their activities. Language barriers and differing consumer behavior patterns further complicate the identification of fraudulent activities, making it essential for detection systems to be adaptable and capable of handling vast amounts of diverse data efficiently.
What technologies are commonly used in cross-border automated fraud triage?
Technologies commonly used include machine learning, artificial intelligence, data analytics, and real-time monitoring systems. Machine learning models can identify patterns and anomalies in transaction data, while AI enhances decision-making by predicting potential fraud scenarios. Data analytics tools process large volumes of data from various sources to detect suspicious activities. Real-time monitoring systems provide instant alerts, allowing for immediate investigation and response to potential threats.
How does automated fraud triage benefit payment companies operating internationally?
Automated fraud triage offers several benefits to payment companies, including enhanced detection accuracy, faster response times, and reduced manual intervention. It allows companies to process large volumes of transactions efficiently, improving their ability to identify and mitigate fraud risks. By prioritizing high-risk cases, companies can allocate resources more effectively, leading to cost savings and improved operational efficiency. Additionally, it helps maintain customer trust by reducing false positives and ensuring secure transactions.
What role does data integration play in cross-border fraud detection?
Data integration is crucial as it involves consolidating transaction data from multiple sources, including international payment processors, banks, and financial institutions. By integrating diverse data sets, companies can gain a comprehensive view of transaction activities, enabling more accurate detection of fraudulent patterns. Effective data integration ensures that systems have access to up-to-date information, enhancing the ability to identify cross-border fraud and reducing blind spots that fraudsters might exploit.
How do regulatory compliance requirements impact cross-border fraud triage?
Regulatory compliance requirements significantly impact cross-border fraud triage by necessitating adherence to various international laws and standards, such as GDPR, PSD2, and AML regulations. Companies must ensure their fraud detection systems are capable of handling sensitive customer data securely while maintaining transparency and accountability. Compliance ensures that fraud triage processes do not violate privacy laws and helps build trust with customers by demonstrating a commitment to protecting their information and preventing fraudulent activities.