Is Your Business Struggling with These Merchant Risk Challenges?
Stay ahead of risk by transforming oversight, boosting efficiency, and safeguarding revenue and relationships with streamlined processes.
Unmanaged Merchant Risk
Inconsistent oversight lets high-risk merchants slip through, exposing you to losses and network penalties.
Manual Monitoring Processes
Spreadsheet-driven reviews drain analyst hours, slow investigations, and inflate operating costs.
High False Positives
Static rules over-block good transactions, cutting legitimate revenue and damaging merchant trust.
Policy Compliance Gaps
Late detection of chargeback or refund spikes triggers fines and strains card-scheme relationships.
FraudNet Solutions: Elevate Your Fraud Prevention Strategy
Fraudnet empowers payment processors with precision monitoring, reducing risk and enhancing merchant relationships.
Policy Monitoring Engine
Live rule enforcement for chargeback, refund, and volume thresholds.
Anomaly Detection Models
AI-native alerts surface unseen fraud patterns in real time.
Merchant Threshold Customization
Fine-tune risk rules per merchant to curb false positives.
Unified Case Dashboard
End-to-end alert, investigation, and audit workflow in one view.
Real-Time Transaction Monitoring
Detect and halt suspicious transactions instantly, safeguarding your revenue and reputation. With real-time monitoring, you minimize fraud exposure and enhance trust with merchants, ensuring smooth operations and maintaining your competitive edge in the payment processing industry.
Intelligent Automation
Streamline your operations with automated scoring and workflows, reducing manual labor and empowering your team to focus on strategic analysis. Enhance efficiency, lower costs, and improve decision-making, all while freeing up valuable resources for high-impact activities.
Frictionless Customer Experience
Empower your payment processing with precision. Approve more legitimate transactions swiftly, minimizing declines and enhancing merchant relationships. Boost revenue while maintaining trust, as our intelligent system ensures smooth, secure payment experiences that keep merchants satisfied and loyal to your service.
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. These systems use advanced algorithms and machine learning to detect suspicious patterns and anomalies in transaction data, helping to prevent fraudulent activities before they can cause significant harm.
How does a payment processor conduct a fraud investigation?
A payment processor conducts a fraud investigation by first analyzing transaction data for irregularities, such as unusual spending patterns or multiple failed transactions. They may use automated tools to detect anomalies and then involve human analysts to review flagged transactions. The investigation often includes checking the transaction history, verifying customer information, and coordinating with financial institutions and law enforcement if necessary.
What are common signs of payment processor fraud?
Common signs of payment processor fraud include unexpected transactions, multiple transactions in a short period, discrepancies in billing information, frequent chargebacks, and unauthorized changes to account details. Unusual behavior such as transactions from locations not typical for the user or attempts to access the account from new devices can also indicate fraudulent activity.
How can payment processors protect themselves from fraud?
Payment processors can protect themselves from fraud by implementing robust security measures, such as using encryption and tokenization for data protection, employing advanced fraud detection systems, conducting regular audits, and educating merchants and consumers about security best practices. Additionally, maintaining compliance with industry standards like PCI DSS can help ensure a secure processing environment.
What role does machine learning play in payment fraud detection?
Machine learning plays a crucial role in payment fraud detection by analyzing large volumes of transaction data to identify patterns and anomalies indicative of fraud. These systems learn from historical data to improve accuracy over time, enabling them to detect new and evolving fraud tactics. Machine learning models can quickly adapt to changing fraudulent behaviors and provide real-time insights to prevent fraud before it occurs.
What should a merchant do if they suspect fraudulent transactions?
If a merchant suspects fraudulent transactions, they should immediately report the activity to their payment processor and follow the processor's guidance for handling such incidents. It's important to gather all relevant information about the suspicious transactions and monitor further activity. Merchants should also review their security practices to identify potential vulnerabilities and take steps to enhance their fraud prevention measures.