Is Merchant Risk Management Draining Your Resources and Threatening Your Reputation?
Protect your reputation and cut costs by effectively managing merchant risk and streamlining operations with smarter tools.
Unmanaged Merchant Risk
Without continuous oversight, high-risk merchants slip through onboarding checks, exposing processors to fines, network bans, and reputational damage.
Manual Monitoring Processes
Analysts juggle spreadsheets and legacy tools, slowing investigations, inflating labor costs, and making it impossible to scale during peak volumes.
Chargebacks & Threshold Violations
Late detection of chargeback, refund, or velocity spikes triggers costly assessments from card networks and jeopardizes acquiring relationships.
High False-Positive Rates
Static rules flag legitimate traffic, forcing unnecessary reviews, delaying merchant payouts, and driving churn to competing processors.
FraudNet Solutions: Elevate Merchant Security with Precision
Boost efficiency and safeguard reputation with FraudNet's automated, real-time risk management for payment processors.
Policy Monitoring Engine
Enforces network thresholds in real time; no more surprise violations.
Anomaly Detection Models
ML spots new fraud patterns missed by static rules—instantly.
Threshold Customization
Merchant-specific rules cut false positives while preserving protection.
Unified Case Dashboard
Alert-to-resolution workflow streamlines reviews and audit reporting.
Real-Time Transaction Monitoring
FraudNet's lightning-fast scoring evaluates every transaction in milliseconds, empowering you to intercept fraudulent activities before they settle. This ensures seamless operations for legitimate merchants, enhancing satisfaction and bolstering loyalty while safeguarding your processing network from potential threats.
Intelligent Automation
Harness the power of adaptive AI, which learns from global fraud signals to automatically escalate cases and initiate actions like pausing terminals or holding funds. This drastically reduces manual review hours, empowering you to streamline operations and enhance security effortlessly.
Frictionless Merchant Experience
Experience seamless transactions with our precise risk scoring that reduces false declines and accelerates payouts. Strengthen your processor-merchant relationships without sacrificing compliance or security, ensuring loyalty and smooth operations for both you and your merchants. Transform your payment processing 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
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
FAQs
What constitutes inefficiency in payment processor fraud management?
Inefficiency in payment processor fraud management often refers to the inability to effectively detect and prevent fraudulent transactions in a timely manner. This can result from outdated technology, lack of real-time monitoring, insufficient data analysis capabilities, or inadequate response strategies. Inefficiencies can lead to increased financial losses, higher chargeback rates, and damaged reputation for the payment processor.
How does delayed fraud detection impact payment processors?
Delayed fraud detection can severely impact payment processors by increasing the risk of financial losses due to fraudulent activities. It can lead to higher chargeback rates, which not only involve financial costs but also damage relationships with merchants. Additionally, prolonged detection times can erode trust with customers and partners, leading to reputational damage and potential loss of business.
Why is real-time monitoring crucial in fraud management?
Real-time monitoring is crucial in fraud management because it allows payment processors to detect and respond to fraudulent activities as they occur. This immediacy helps in minimizing financial losses, reducing the volume of chargebacks, and maintaining trust with merchants and customers. Real-time monitoring also enables proactive risk management, allowing processors to adapt quickly to emerging fraud patterns and enhance overall security.
What role does machine learning play in improving fraud detection?
Machine learning plays a significant role in improving fraud detection by analyzing large volumes of transaction data to identify patterns indicative of fraud. It enables payment processors to detect anomalies and predict fraudulent behavior with high accuracy. Machine learning models can continuously learn and adapt to new fraud tactics, enhancing the efficiency and effectiveness of fraud management systems over time.
How can payment processors address inefficiencies in their current fraud management systems?
Payment processors can address inefficiencies by upgrading to advanced fraud detection technologies such as AI and machine learning, implementing real-time monitoring systems, and integrating comprehensive data analytics. Regularly updating fraud detection rules and collaborating with industry partners for shared intelligence can also help. Additionally, investing in staff training and enhancing response strategies can improve overall fraud prevention capabilities.
What are the common challenges faced in fraud management by payment processors?
Common challenges include keeping up with evolving fraud tactics, managing large volumes of transaction data, and balancing fraud prevention with a seamless customer experience. Payment processors also face the challenge of integrating new technologies with existing systems and ensuring compliance with regulatory requirements. These challenges can lead to inefficiencies if not addressed with a strategic and comprehensive fraud management approach.