Are Regulatory Challenges and Fraud Threats Overwhelming Your Financial Operations?
Streamline compliance and enhance security, minimizing regulatory risks and fraud in cross-border payments with efficient, transparent solutions.
Heightened AML Compliance Burden
You must reconcile every cross-border payment against shifting FATF, OFAC, and local rules, stretching teams and raising the cost of non-compliance.
Limited Transparency Into Counterparty Identity
Multiple jurisdictions, data silos, and inconsistent KYC standards make it hard to verify senders or beneficiaries, leaving gaps attackers exploit.
Money Laundering & Mule Account Proliferation
Sophisticated fraud rings route illicit funds through global corridors, masking velocity spikes and draining working capital before you can react.
Hidden Transaction Laundering
Shell merchants and misclassified payments bypass traditional checks, exposing you to regulatory fines and reputational damage.
Enhance Security with FraudNet's Advanced Compliance Solutions
Streamline compliance and fraud prevention for cross-border payments, reducing risks and operational burdens.
Ongoing Screening for AML & Sanctions
Continuously re-screen entities to meet global AML rules.
Real-Time Transaction Monitoring
Score cross-border payments in milliseconds for risk.
Policy Monitoring Engine
Track chargebacks, refunds, and spikes automatically.
Entity Risk Analytics for KYB
Rate business applicants using global behavioral data.
Adaptive AI-Native Fraud Detection
FraudNet harnesses billions of global signals to instantly flag anomalies, reducing fraud losses while ensuring seamless cross-border transactions. Tailored for your unique corridors, it minimizes disruptions, allowing legitimate payments to flow smoothly and enhancing customer satisfaction while maintaining robust security.
Lowest False-Positive Rates in Class
Our localized models are tailored to each payment corridor's specific norms, ensuring that legitimate transactions proceed smoothly while reducing false alerts by up to 70%. This precision minimizes disruptions, enhancing your efficiency and customer satisfaction in cross-border payments.
Unified Compliance & Fraud Console
Streamline your compliance and fraud operations with our unified dashboard, integrating screening, monitoring, and case management. Enhance analyst efficiency, reduce audit preparation time, and stay ahead of regulatory demands, allowing you to focus on expanding your cross-border payment services seamlessly.
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 AI fraud automation?
Cross-border AI fraud automation refers to the use of artificial intelligence technologies to detect, prevent, and manage fraudulent activities in international transactions. This involves using machine learning algorithms and data analytics to analyze transaction patterns, identify anomalies, and flag suspicious activities in real-time across different countries and regulatory environments.
How does AI improve fraud detection in cross-border transactions?
AI improves fraud detection in cross-border transactions by leveraging advanced algorithms that can process large volumes of data quickly and accurately. These algorithms learn from historical data to identify patterns and anomalies indicative of fraud. AI systems are capable of adapting to new fraud tactics, offering real-time analysis, and reducing false positives, thereby enhancing the efficiency of fraud detection across different currencies and regulatory frameworks.
What challenges do companies face in cross-border AI fraud automation?
Companies face several challenges in cross-border AI fraud automation, including dealing with diverse regulatory requirements, managing data privacy concerns, and ensuring compliance with international standards. Additionally, the variability in transaction data due to currency differences, language barriers, and regional fraud patterns can complicate the development and implementation of effective AI models. Companies must also address the need for high-quality data and the integration of AI with existing systems.
How can AI help in reducing false positives in fraud detection?
AI helps reduce false positives in fraud detection by using machine learning algorithms that can distinguish between legitimate and fraudulent transactions with greater accuracy. These algorithms analyze patterns, behaviors, and historical data to refine their models continuously. As a result, AI systems can improve their precision over time, minimizing the number of legitimate transactions incorrectly flagged as fraudulent and allowing companies to focus resources on genuine threats.
What role does machine learning play in cross-border fraud detection?
Machine learning plays a crucial role in cross-border fraud detection by providing the capability to identify patterns and trends in large datasets that would be impossible for humans to process manually. Through supervised and unsupervised learning techniques, machine learning models can adapt to new fraud schemes, learn from historical fraud cases, and predict potential risks, thus enabling more proactive and dynamic fraud prevention strategies in cross-border transactions.
What are the benefits of using AI for cross-border fraud prevention?
The benefits of using AI for cross-border fraud prevention include enhanced detection accuracy, real-time monitoring, and the ability to handle large volumes of transaction data. AI systems can quickly adapt to evolving fraud tactics, reduce operational costs by automating routine processes, and improve the customer experience by minimizing disruptions caused by false positives. Additionally, AI can help companies stay compliant with international regulations by providing detailed insights and analytics on fraudulent activities.