Is Your Payment Processing Plagued by Delays, False Positives, and Compliance Complexities?
Streamline your operations, reduce risk, and enhance client trust by addressing key challenges in B2B payment processing.
Delayed Fraud Detection
Batch-based tools flag suspicious ACH or wire activity days later, exposing B2B payment processors to chargebacks, lost funds, and strained client relationships.
High False Positives
Rigid rules mark large-ticket invoices as risky, forcing you to hold legitimate supplier payouts and damaging trust with enterprise customers.
Complex Compliance Requirements
Global AML, OFAC, and FATF mandates demand continuous screening; manual checks create gaps that can trigger costly fines and audits.
Manual Review Overhead
Fraud teams sift through spreadsheets and portals to verify transactions, inflating operating costs and slowing settlement cycles for B2B clients.
FraudNet: Revolutionize B2B Payments with Smart Solutions
Enhance B2B payment processing with instant fraud detection, streamlined compliance, and reduced operational costs.
Real-Time Transaction Monitoring
Continuously score ACH, wire, and card events in milliseconds.
Intelligent Automation
Auto-approve safe payments; route edge cases to analysts.
Streamlined Case Management
One dashboard unifies evidence, notes, and audit trails.
Frictionless Customer Experience
Slash false positives to keep supplier and buyer cash flowing.
AI-Native Real-Time Detection
FraudNet’s AI-driven models detect anomalies instantly, preventing financial losses without hindering legitimate B2B transactions. Ensure seamless cash flow and security with proactive protection, allowing your payment operations to thrive without the risk of delayed or erroneous fund transfers.
Unified Compliance Automation
Effortlessly meet global compliance mandates with our embedded AML and sanctions screening. Instantly generate audit-ready reports, allowing your B2B payment company to navigate complex regulations with ease and efficiency, all while conserving valuable resources and minimizing compliance-related overhead.
Lower Operating Costs
With FraudNet, reduce manual reviews and false alerts to liberate your team for strategic growth. Our solution cuts fraud-management expenses by up to 50%, allowing B2B payment companies to reallocate resources, enhance efficiency, and scale operations seamlessly.
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 invoice fraud, business email compromise (BEC), account takeover, phishing attacks, identity theft, and transaction laundering. These solutions use advanced algorithms and machine learning to detect anomalies and patterns indicative of fraud, providing real-time alerts to prevent fraudulent transactions before they are completed.
How does real-time fraud detection work in B2B payments?
Real-time fraud detection in B2B payments involves continuous monitoring of transactions as they occur. The system uses algorithms and machine learning models to analyze transaction data, looking for patterns or anomalies that deviate from typical behavior. If suspicious activity is detected, the system can alert administrators or automatically halt the transaction for further review, minimizing the risk of fraud and financial loss.
What are the benefits of using real-time fraud detection for B2B payments?
The benefits of using real-time fraud detection for B2B payments include improved security, reduced financial losses, and enhanced trust between business partners. By identifying and preventing fraudulent transactions as they happen, businesses can protect their assets and avoid the costly repercussions of fraud. Additionally, real-time capabilities allow for quicker responses and adjustments to emerging threats, ensuring a robust defense against evolving fraud tactics.
What challenges do businesses face in implementing real-time fraud detection?
Businesses face several challenges in implementing real-time fraud detection, including the need for integrating sophisticated technology with existing systems, managing false positives, and ensuring data privacy. Additionally, businesses must continuously update their detection systems to keep up with evolving fraud tactics and invest in staff training to effectively interpret and respond to alerts. Balancing these requirements while maintaining operational efficiency can be complex and resource-intensive.
How can machine learning enhance fraud detection in B2B payments?
Machine learning enhances fraud detection by enabling systems to learn from historical data and improve over time. It can identify complex patterns and correlations between transactions that might be invisible to humans or rule-based systems. Machine learning models can adapt to new fraud tactics by continuously updating their algorithms, thus providing more accurate and timely alerts. This adaptability helps businesses stay ahead of fraudsters and protect their financial transactions more effectively.
What role does data analytics play in B2B payment fraud detection?
Data analytics plays a crucial role in B2B payment fraud detection by providing insights into transaction patterns, customer behaviors, and potential vulnerabilities. By analyzing large volumes of data in real-time, analytics tools can identify anomalies and predict potential fraud risks. These insights enable businesses to implement proactive measures, optimize their fraud detection strategies, and enhance decision-making processes to safeguard against fraudulent activities.