Is Your Payment Processing at Risk Due to These Common Challenges?
Identify and address vulnerabilities to reduce chargebacks, safeguard reputation, and ensure seamless operations for your payment processing.
Unmanaged Merchant Risk
Sporadic or siloed monitoring lets bad actors exploit gaps, triggering costly chargebacks, fines, and reputational damage for payment processors.
Manual Monitoring Processes
Excel sheets and ad-hoc queries slow investigations, introduce human error, and prevent teams from seeing risk patterns in real time.
High False Positives
Rigid, one-size-fits-all rules flag legitimate volume spikes as fraud, inflating review costs and straining merchant relationships.
Scalability Challenges
Rising transaction volumes outpace existing tools, overwhelming risk teams and undermining service-level commitments.
FraudNet Solutions: Elevate Your Fraud Prevention Strategy
Enhance security and efficiency, reduce false positives, and scale effortlessly with FraudNet’s advanced solutions.
Policy Monitoring Engine
Real-time rules enforce chargeback, refund, and velocity limits per merchant.
Anomaly Detection Models
ML surfaces outlier behavior and emerging fraud missed by static thresholds.
Merchant-Level Thresholds
Adaptive limits adjust to each merchant’s norms, cutting false positives.
Unified Case Dashboard
Single console tracks alerts, evidence, and actions through resolution.
Real-Time Fraud Detection
FraudNet instantly evaluates each transaction, intercepting threats before they settle, safeguarding your margins and ensuring smooth operations. With real-time, millisecond-level fraud detection, you can confidently protect your bottom line while maintaining seamless service for your merchants.
Operational Efficiency
Say goodbye to cumbersome spreadsheets and manual processes. Our automated solution revolutionizes your investigations, allowing your team to focus on high-value cases. Enhance efficiency, reduce human error, and empower your analysts to tackle fraud with precision and confidence, boosting your bottom line.
Regulatory Confidence
Stay ahead of regulatory demands with robust audit trails and policy controls designed to ensure compliance with PCI DSS, PSD2, and card-network mandates. Our solution empowers you to mitigate risks, avoid costly penalties, and maintain trust with your stakeholders effortlessly.
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 is real-time transaction monitoring in payment processing?
Real-time transaction monitoring in payment processing involves the continuous analysis of financial transactions as they occur to detect and prevent fraudulent activities. This process uses advanced algorithms and machine learning to assess risk factors and anomalies instantly, ensuring that suspicious transactions are flagged or declined immediately, thus reducing fraud risk and enhancing security for both merchants and consumers.
How does real-time transaction monitoring enhance security?
Real-time transaction monitoring enhances security by identifying and responding to potential fraud immediately. It analyzes transaction patterns, user behaviors, and historical data to detect anomalies that may indicate fraud. This proactive approach allows payment processors to prevent fraudulent transactions before they are completed, minimizing financial losses and protecting sensitive information. Furthermore, it builds consumer trust by ensuring that their transactions are secure.
What technologies are used in real-time transaction monitoring?
Real-time transaction monitoring employs a combination of technologies, including artificial intelligence, machine learning, big data analytics, and rule-based systems. AI and machine learning algorithms analyze vast amounts of data to identify patterns and predict fraudulent behavior. Big data analytics processes large volumes of transaction data quickly, while rule-based systems apply predefined rules to flag suspicious activities. These technologies work together to provide accurate and fast fraud detection.
Can real-time transaction monitoring impact user experience?
Yes, real-time transaction monitoring can impact user experience positively by providing a seamless and secure payment process. By quickly identifying and preventing fraudulent transactions, it reduces the likelihood of legitimate transactions being declined. However, overly sensitive monitoring systems might occasionally flag legitimate transactions as suspicious, leading to delays or additional verification steps. Balancing security measures with user convenience is crucial to maintaining a positive user experience.
What are some challenges in implementing real-time transaction monitoring?
Implementing real-time transaction monitoring poses several challenges, including the need for robust infrastructure to process and analyze data quickly, the complexity of integrating with existing payment systems, and the potential for false positives that can disrupt legitimate transactions. Additionally, staying ahead of evolving fraud tactics requires continuous updates and improvements to monitoring algorithms. Balancing security with user convenience is also a key challenge in maintaining effective monitoring without inconveniencing users.
How do payment processors adapt to new fraud trends using real-time monitoring?
Payment processors adapt to new fraud trends through continuous updates to their real-time monitoring systems. They leverage machine learning to learn from new data, enabling their systems to recognize emerging patterns and tactics used by fraudsters. They also incorporate threat intelligence, which involves sharing information about new fraud schemes within the industry. Regularly updating rules and algorithms ensures that processors can quickly respond to and mitigate new types of fraudulent activities.