Are Complex Transactions and Compliance Pressures Leaving Your Cross-Border Operations Vulnerable?
Streamline your cross-border operations with enhanced visibility and compliance, reducing fraud risks and operational inefficiencies effectively.
Complex, Multi-Jurisdiction Paths
Cross-border transactions hop through banks, PSPs, and networks, obscuring end-to-end visibility and giving fraudsters multiple blind spots to exploit.
Fragmented Data & Limited KYC
Varying privacy laws and siloed data make it hard to verify counterparties in real time, increasing exposure to mule accounts and sanctioned entities.
Costly False-Positive Spirals
Legacy rules flag too many good payments, forcing manual reviews, eroding revenue, and frustrating legitimate customers at checkout.
Evolving Global Compliance Pressure
Keeping pace with PSD2, FATF, and regional AML mandates strains resources and risks fines when monitoring tools lack real-time audit trails.
FraudNet: Streamline Security with Smart, Real-Time Solutions
Streamline operations and enhance security with real-time insights and automated compliance across cross-border payments.
Unified Real-Time Monitoring
Detailed views of every step in a cross-border payment.
AI-Native Risk Scoring
Learns new fraud patterns and flags outliers automatically.
Collaborative Intelligence Network
Shared global signals block mules before settlement
Automated Compliance Engine
Generates audit-ready logs for any jurisdiction
Millisecond Cross-Border Decisioning
Prevent emerging fraud schemes before funds even cross borders with our AI-native models. By seamlessly fusing device, behavioral, and geo-velocity signals in real time, you gain the power to protect transactions and enhance security, all while maintaining customer trust.
Single Pane for Global Casework
Streamline your cross-border investigations with FraudNet. Seamlessly integrate every intermediary, document, and sanction screen into a single workflow, dramatically reducing analyst hours. Experience efficient casework management and focus on what truly matters—expanding your business and enhancing customer satisfaction.
40% Fewer False Positives
Experience a 40% reduction in false positives with our self-learning models that seamlessly adapt to regional nuances. Allow more legitimate customers to breeze through transactions while you recover revenue previously lost to unwarranted declines, enhancing overall customer satisfaction.
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 real-time fraud visibility?
Cross-border real-time fraud visibility refers to the ability to monitor and detect fraudulent activities across different countries and jurisdictions in real-time. This capability is crucial for financial institutions and payment processors as it allows them to quickly identify and respond to potential fraud attempts, thereby minimizing financial losses and protecting customer data. The use of advanced analytics and machine learning enhances this visibility, making it possible to detect patterns and anomalies indicative of fraud.
How does cross-border fraud visibility benefit payment companies?
Cross-border fraud visibility benefits payment companies by providing a comprehensive view of transactions across different regions and currencies. This capability enables companies to identify and mitigate risks more effectively, ensuring compliance with international regulations. It also enhances customer trust by reducing the likelihood of fraud-related disruptions. By leveraging real-time data and analytics, payment companies can proactively address potential threats and optimize their fraud prevention strategies, ultimately leading to reduced operational costs and improved customer satisfaction.
What are the challenges of implementing real-time fraud detection for cross-border transactions?
Implementing real-time fraud detection for cross-border transactions presents several challenges. These include dealing with diverse regulatory requirements across different jurisdictions, managing large volumes of data in real-time, and ensuring the accuracy of fraud detection algorithms. Additionally, there are technical challenges related to system integration and maintaining low latency to avoid disrupting legitimate transactions. Organizations must also address privacy concerns and ensure that their fraud detection strategies are adaptable to emerging threats and evolving fraud tactics.
What technologies are essential for effective cross-border fraud detection?
Effective cross-border fraud detection relies on several key technologies, including machine learning, artificial intelligence, and big data analytics. These technologies enable the real-time analysis of large datasets to identify patterns and anomalies indicative of fraud. Additionally, blockchain technology can provide enhanced transparency and security for cross-border transactions. Advanced cybersecurity measures, such as encryption and multi-factor authentication, are also critical to protect sensitive data and ensure the integrity of financial transactions across borders.
How do machine learning algorithms enhance fraud detection in cross-border payments?
Machine learning algorithms enhance fraud detection in cross-border payments by analyzing vast amounts of transactional data to identify patterns and anomalies that may indicate fraudulent activity. These algorithms can adapt to new and evolving threats by continuously learning from new data, improving their accuracy over time. They can also process data in real-time, providing immediate alerts to potential fraud attempts. This proactive approach enables financial institutions to mitigate risks more effectively and maintain the integrity of cross-border transactions.
What role do regulatory compliance and data privacy play in cross-border fraud detection?
Regulatory compliance and data privacy are crucial in cross-border fraud detection as they ensure that financial institutions operate within legal frameworks and protect customer information. Compliance with international regulations, such as GDPR and AML directives, helps institutions avoid legal penalties and maintain trust with customers. Data privacy measures, such as encryption and secure data handling practices, are essential to prevent unauthorized access and protect sensitive information. Balancing these aspects with effective fraud detection strategies is key to maintaining a secure and compliant payment ecosystem.