Strategies to Prevent Major Fraud Losses for Cross-Border Payments

Safeguard cross-border transactions with real-time AI detection, ensuring compliance and mitigating fraud for seamless global payments.

Is Your Business Struggling with These Cross-Border Compliance and Security Challenges?

Streamline compliance, enhance security, and protect your bottom line by addressing complex regulatory, verification, and payment challenges head-on.

Complex Regulatory Compliance

You juggle FATF, OFAC, and dozens of local AML mandates. Frequent rule changes force repeated system updates, raising costs and exposing you to fines if anything slips through.

Inconsistent KYC & KYB Standards

Different jurisdictions accept different identity checks. Gaps in data or document quality make it hard to confirm counterparties, letting bad actors hide behind shell entities.

Fragmented Cross-Border Payment Rails

Multiple intermediaries, formats, and cut-off times create blind spots. Fraudsters exploit hand-offs between banks, PSPs, and networks to reroute or tamper with funds.

Sophisticated Cyber & Social Engineering

AI-generated phishing, deepfake credentials, and API attacks target your international corridors, threatening large losses before manual reviews can react.

Transform Compliance and Security with FraudNet Solutions

Streamline compliance, enhance security, and reduce fraud risks for seamless global transactions with FraudNet.

AI-Native Real-Time Monitoring

Flags anomalies across borders in milliseconds.

Automated KYC/KYB Orchestration

Verifies entities instantly using global data.

Consortium Intelligence Network

Leverages shared fraud signals worldwide.

Adaptive Multi-Layer Security

Applies dynamic MFA & encryption end-to-end.

Key Capabilities For Cross-Border Payment companies

Precision Fraud Detection

FraudNet’s AI-driven models scrutinize thousands of data points per transaction, drastically reducing false positives. This proactive approach stops cross-border fraud in its tracks, ensuring your funds remain secure and compliant, without the hassle of funds slipping away unnoticed.

Unified Compliance & Risk Dashboard

Gain complete oversight with our Unified Compliance & Risk Dashboard, offering a consolidated view of sanctions screening, KYC/KYB outcomes, and case workflows. Simplify audits, mitigate regulatory risks, and ensure seamless compliance across all international payment corridors with ease.

Scalable, Low-Code Deployment

FraudNet's cloud APIs and pre-built connectors enable rapid integration within weeks, not months. This streamlined process allows you to enter new markets swiftly, minimizing the burden on your tech team and ensuring seamless expansion in the fast-paced world of cross-border payments.
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 are common types of cross-border payment fraud?

Common types of cross-border payment fraud include credit card fraud, account takeover, phishing, identity theft, and transaction laundering. These frauds often exploit the complexities and less stringent regulations of international transactions, making it harder to detect and prevent them. Additionally, fraudsters may use fake identities or compromised accounts to initiate unauthorized transactions across borders, complicating the recovery process.

How can companies prevent cross-border fraud?

Companies can prevent cross-border fraud by implementing robust fraud detection and prevention systems, leveraging artificial intelligence and machine learning to identify suspicious activities. They should also employ multi-factor authentication, regularly update security protocols, and ensure compliance with international regulations. Educating customers about potential fraud risks and encouraging safe transaction practices are also essential components of a comprehensive prevention strategy.

What role does data analytics play in preventing cross-border fraud?

Data analytics plays a crucial role in preventing cross-border fraud by analyzing transaction patterns, identifying anomalies, and predicting potential fraud risks. By using advanced algorithms and machine learning, companies can detect suspicious activities in real-time and respond promptly. Data analytics also helps in understanding the evolving tactics of fraudsters, allowing businesses to adapt and enhance their fraud prevention measures effectively.

Why is cross-border fraud more challenging to detect?

Cross-border fraud is more challenging to detect due to the complexity of international transactions and varying regulations across countries. Differences in legal frameworks, currency exchanges, and time zones add layers of difficulty in monitoring transactions. Additionally, fraudsters often exploit these gaps, using sophisticated methods to mask their activities, making it harder for traditional fraud detection systems to catch fraudulent transactions promptly.

How does multi-currency handling impact fraud prevention?

Multi-currency handling can complicate fraud prevention as it involves additional conversion processes and currency fluctuations, which can mask fraudulent activities. Fraudsters may exploit these complexities to hide unauthorized transactions. To mitigate risks, companies should use advanced analytics to monitor currency movements and employ specialized systems capable of detecting anomalies within multi-currency transactions. Ensuring transparency and accuracy in currency conversions is also crucial for effective fraud prevention.

What are the benefits of using AI in cross-border fraud prevention?

AI offers numerous benefits in cross-border fraud prevention, including enhanced accuracy in detecting fraudulent patterns and the ability to process vast amounts of data quickly. AI systems can learn from previous fraud incidents, improving their predictive capabilities over time. They provide real-time monitoring and alerts, enabling swift responses to potential threats. Additionally, AI can identify subtle anomalies that may be missed by human analysts, reducing false positives and improving overall fraud detection efficiency.