The Power of Real-Time Fraud Detection for Cross-Border Payments

Enhance compliance, prevent fraud, and boost operational efficiency with real-time detection for seamless cross-border transactions.

Are Global AML Challenges Draining Your Resources and Exposing You to Risk?

Stay ahead of shifting AML regulations, protect your revenue, and reduce compliance costs with streamlined, real-time fraud prevention.

Ever-Shifting Global AML Rules

Keeping pace with FATF, OFAC, and local mandates across dozens of corridors forces you to juggle conflicting requirements, constant rule updates, and time-sensitive filings—draining compliance budgets.

Opaque Sender & Receiver Identities

Varying KYC standards, language barriers, and patchy data make it hard to verify who really funds or collects a payment, leaving blind spots fraudsters exploit.

Money Mules & High-Velocity Laundering

Organized rings funnel illicit funds through mule accounts, exploiting time-zone gaps and higher limits in cross-border rails before manual reviews can react.

Hidden Transaction Laundering

Prohibited goods or sanctioned parties masquerade behind legitimate merchants, exposing you to fines, license loss, and network blacklisting if undetected.

FraudNet: Transforming Compliance with Smart Payment Solutions

Streamline compliance, reduce risk, and safeguard resources with Fraudnet's comprehensive solutions for cross-border payments.

AI-Native Transaction Scoring

Stops suspicious cross-border payments in real time.

Unified Global Watchlists

Auto-syncs sanctions data so every corridor stays compliant.

Behavioral Analytics Layer

Flags mule accounts via adaptive, region-specific heuristics.

Streamlined Compliance Reporting

One-click SAR exports cut regulatory overhead.

Key Capabilities For Cross-Border Payment companies

Millisecond Decisioning

FraudNet swiftly evaluates hundreds of payment signals in under 300 milliseconds, blocking fraudulent transactions instantly while ensuring seamless experiences for legitimate customers. Protect your cross-border payments and enhance trust without compromising speed or customer satisfaction.

Unified Intelligence Hub

Consolidate your compliance efforts with our Unified Intelligence Hub, where sanctions, device, behavioral, and network insights converge in one streamlined console. Reduce swivel-chair investigations and slash analyst workload by up to 40%, boosting efficiency and safeguarding your cross-border operations.

Lower False Positives

Optimize your cross-border transactions with our corridor-specific models. Minimize false positives and prevent unnecessary declines, ensuring seamless revenue flow and maintaining customer trust. Stay audit-ready with precision targeting that balances compliance and customer satisfaction effortlessly. Elevate your payment operations today.
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 detection?

Cross-border real-time fraud detection refers to systems and technologies designed to identify and prevent fraudulent activities in international transactions as they occur. These systems analyze transaction data across different countries and currencies, using machine learning and other advanced algorithms to detect suspicious patterns indicative of fraud. This capability is crucial for businesses operating internationally to protect against losses and ensure compliance with global financial regulations.

How does machine learning aid in fraud detection?

Machine learning enhances fraud detection by analyzing large volumes of transaction data to identify patterns and anomalies that may indicate fraudulent activity. These algorithms learn from historical data to improve their predictive accuracy over time, adapting to new fraud tactics. This capability allows businesses to detect suspicious activities more quickly and accurately, minimizing false positives and enhancing the overall effectiveness of fraud prevention strategies in a cross-border context.

What are the challenges in implementing real-time fraud detection for cross-border transactions?

Implementing real-time fraud detection for cross-border transactions poses several challenges, including managing diverse data formats and standards across different countries, dealing with varying regulatory requirements, and ensuring low latency in processing to avoid transaction delays. Additionally, the system must handle multiple currencies and languages, as well as adapt to regional fraud tactics, making it complex to maintain and refine the detection algorithms continuously.

How does cross-border real-time fraud detection impact customer experience?

Effective cross-border real-time fraud detection can significantly improve customer experience by ensuring secure transactions without unnecessary delays or declines. By accurately identifying fraudulent activities, businesses can protect customers from fraud while minimizing false positives that could disrupt legitimate transactions. This balance helps maintain customer trust and satisfaction, encouraging more international transactions by providing a seamless and secure payment experience.

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 customer information across jurisdictions with different privacy laws. Companies must ensure compliance with regulations like GDPR and CCPA by implementing robust data protection measures and obtaining necessary consents for data processing. This includes anonymizing data where possible and ensuring secure data transfer and storage, thus balancing fraud prevention efforts with the protection of customer privacy rights.

What are the future trends in cross-border fraud detection?

Future trends in cross-border fraud detection include the increased use of artificial intelligence and machine learning to enhance predictive accuracy and adapt to emerging fraud tactics. Blockchain technology may also play a role in improving transparency and traceability of transactions. Additionally, there will be a growing emphasis on collaboration between international financial institutions and technology providers to share insights and develop standardized approaches to combatting cross-border fraud more effectively.