Are Merchant Risks Slipping Through the Cracks and Jeopardizing Your Business?
Identify and mitigate merchant risks promptly to safeguard your business from fines, revenue loss, and reputational harm.
Unmanaged Merchant Risk
Infrequent merchant surveillance lets fraudulent sellers slip through, leaving processors liable for fines, lost interchange, and reputational damage when schemes erupt.
Manual Monitoring Processes
Risk teams juggle Excel sheets and legacy portals to track volumes, delaying reaction times and consuming analyst hours that could be spent driving growth.
Chargebacks & Threshold Violations
Without proactive alerts, processors miss rising chargeback ratios, trigger card-network remediation programs, and face costly reserve demands or merchant terminations.
High False Positives
Static, one-size rules flag healthy merchants, freezing payouts, spiking support tickets, and straining partner relationships while real fraud still leaks through.
Empower Your Risk Strategy with FraudNet Solutions
Safeguard your payment processing with FraudNet's precision monitoring, reducing risks and protecting your reputation.
Policy Monitoring Engine
Enforce network thresholds live; auto-flag or pause risky merchants.
Anomaly Detection Models
ML spots outliers unseen by rules, revealing new fraud tactics fast.
Merchant-Level Customization
Tailor limits per merchant to slash false positives and keep sales.
Real-Time Alerts
Instant SMS, email, API pings route cases for action within seconds.
Real-Time Transaction Monitoring
FraudNet evaluates each transaction in milliseconds, intercepting fraudulent activities before funds are transferred. This swift action not only safeguards your interchange revenue but also ensures smooth operations, allowing you to focus on growth without the worry of potential financial losses.
Streamlined Case Management
Streamline your risk operations with FraudNet's unified console—automatically capturing evidence, optimizing workflows, and producing audit-ready reports. Reduce investigation time, ensure network compliance, and focus on growing your business, while we handle the complexities of fraud management for you.
Intelligent Automation
FraudNet’s Adaptive AI dynamically updates rules, efficiently routes tasks, and triggers necessary actions, empowering your risk team to scale seamlessly without increasing headcount. Stay ahead of threats while optimizing resources and enhancing your ability to drive growth and maintain compliance.
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 types of payment fraud can detection software identify?
Detection software can identify various types of payment fraud, including credit card fraud, account takeover, phishing attacks, identity theft, and transaction laundering. By analyzing transaction patterns and user behaviors in real-time, these systems can flag suspicious activities that deviate from normal usage. This capability helps in mitigating risks associated with fraudulent transactions before they result in financial losses.
How does real-time fraud detection work?
Real-time fraud detection uses machine learning algorithms and rule-based systems to analyze transactions as they occur. It assesses patterns, user behaviors, and transaction anomalies. By leveraging vast datasets and historical transaction data, the system can quickly identify unusual activities and flag them for further review or immediate action, such as blocking the transaction, to prevent potential fraud.
What technologies underpin real-time fraud detection systems?
Real-time fraud detection systems utilize a combination of machine learning, artificial intelligence, big data analytics, and behavioral analysis. These technologies work together to monitor transactions continuously, identifying patterns and anomalies that may indicate fraud. Additionally, some systems incorporate blockchain for secure data verification and enhanced transparency, further strengthening the fraud detection process.
Why is real-time fraud detection important for payment processors?
Real-time fraud detection is crucial for payment processors as it helps prevent financial losses and protects customer trust. By identifying and mitigating fraudulent activities as they occur, processors can reduce chargebacks, avoid penalties, and maintain their reputation. Additionally, it ensures compliance with industry regulations and standards, which are vital for maintaining operational integrity and customer confidence.
How do machine learning models improve fraud detection accuracy?
Machine learning models improve fraud detection accuracy by continuously learning from new data and adapting to evolving fraud patterns. They analyze large datasets to identify subtle correlations and anomalies that rule-based systems might miss. These models can predict fraudulent activities with higher precision, reducing false positives and improving the overall efficiency of fraud detection processes, thus providing a more robust defense against sophisticated fraud schemes.
What challenges do payment processors face in implementing real-time fraud detection?
Payment processors face several challenges in implementing real-time fraud detection, including handling large volumes of transactions efficiently, balancing accuracy with speed, and minimizing false positives. They must also stay ahead of evolving fraud tactics, which requires constant updates to detection models. Ensuring data privacy and regulatory compliance while integrating new technologies into existing systems can also pose significant hurdles.