Is Your Business Struggling with These Pain Points?
Overcome common remittance challenges to protect revenue, streamline operations, and enhance customer trust in competitive markets.
High Exposure to Identity Fraud
Synthetic identities and account takeovers target send-and-receive flows, forcing you to reimburse losses, absorb chargebacks, and repair damaged brand trust in migrant corridors.
Manual Compliance Workflows
Human review of KYC and AML alerts slows onboarding, drives user drop-off, and creates costly gaps that regulators scrutinize during increasingly frequent audits.
Excessive False Positives
Static rules mislabel new-to-credit migrants as risky, blocking legitimate transfers, spiking support tickets, and pushing frustrated customers to faster, less-secure competitors.
Rising Investigation Costs
24/7 analyst coverage, dispute handling, and document gathering eat into already thin remittance margins, making sustainable growth nearly impossible without automation.
FraudNet: Transformative Solutions to Secure Your Remittance Flow
Boost your remittance security and efficiency with FraudNet's seamless fraud prevention and compliance solutions.
Entity Screening
Always-on KYC/AML screening blocks risky senders and receivers instantly.
Transaction Monitoring
Real-time scoring flags suspicious transfers before funds leave your platform.
Behavioral Anomaly Alerts
AI spots unusual device, geo, or velocity shifts and alerts you instantly.
Unified Case Management
Single hub for triage, evidence, and audits slashes manual review time.
Real-Time Fraud Detection
FraudNet's AI-Native engine processes high-volume remittance data, evaluating transactions in milliseconds to block fraud before payout. This safeguards your revenue without disrupting customer experience, ensuring smooth transfers while protecting your business from costly fraudulent activities.
Reduced False Positives
Harness adaptive models that discern authentic migrant transactions from fraud, reducing manual reviews by up to 60%. Minimize disruptions for genuine transfers, enhancing customer satisfaction and loyalty while streamlining your operations for more efficient, seamless remittance services.
End-to-End Compliance Automation
Streamline compliance with automated KYC and AML processes that ensure you're always regulator-ready. Our audit-ready case trails ease the burden on examiners, allowing your team to concentrate on expanding into new corridors and building partnerships with new payout providers.
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
Speak with our Solutions Expert Today
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Recognized by Industry Analysts
Related Resources
Other Services
View More
FAQs
What is real-time fraud detection in remittance services?
Real-time fraud detection in remittance services refers to the process of identifying and preventing fraudulent activities during money transfer transactions as they happen. It uses advanced algorithms and machine learning models to analyze transaction data and detect anomalies or suspicious behavior, allowing companies to take immediate action to prevent potential fraud.
How does real-time fraud detection benefit remittance companies?
Real-time fraud detection benefits remittance companies by reducing financial losses associated with fraudulent transactions, enhancing customer trust, and improving overall security. By identifying and stopping fraudulent activities as they occur, companies can protect their customers' funds and maintain their reputation, ultimately leading to increased customer satisfaction and loyalty.
What technologies are used in real-time fraud detection systems?
Real-time fraud detection systems use various technologies, including machine learning algorithms, artificial intelligence, big data analytics, and behavioral analysis. These technologies help in analyzing large volumes of transaction data, identifying patterns or anomalies, and predicting potential fraudulent activities with high accuracy, allowing companies to respond promptly.
How can machine learning improve fraud detection in remittances?
Machine learning improves fraud detection in remittances by continuously learning from historical transaction data to identify patterns indicative of fraud. As the system processes more data, it becomes better at distinguishing between legitimate transactions and potentially fraudulent ones, leading to more accurate predictions and reduced false positives, thus enhancing the efficiency of the fraud detection process.
What challenges do remittance companies face in implementing real-time fraud detection?
Remittance companies face several challenges in implementing real-time fraud detection, including the need for significant investment in technology and infrastructure, ensuring data privacy and security, managing false positives, and staying ahead of evolving fraud tactics. Additionally, integrating these systems with existing platforms and maintaining them requires continuous effort and expertise.
How can remittance companies ensure data privacy while using fraud detection systems?
Remittance companies can ensure data privacy while using fraud detection systems by implementing robust encryption methods, adhering to strict data protection regulations, and minimizing data sharing with third parties. Additionally, they should conduct regular audits, ensure compliance with legal standards, and educate employees about data privacy practices to safeguard customer information while effectively detecting fraud.