Are You Struggling with These Critical Payment Processing Challenges?
Unlock seamless payment processing by addressing chargebacks, fraud, and visibility issues to protect your margins and reputation.
High Chargeback Exposure
Disputes spike without early warning, triggering network fines and eroding your interchange margins.
Onboarding Blind Spots
Lack of real-time KYB allows bad actors to enter your portfolio and create downstream losses.
Hidden CNP Fraud Patterns
Cross-merchant fraud signals stay siloed, delaying detection and driving up write-offs.
Minimal Merchant Visibility
You can’t easily spot abnormal refund, sales, or velocity shifts before risk thresholds break.
Transform Risk Management with FraudNet Solutions
FraudNet empowers acquirers with instant insights and controls to mitigate risk and prevent losses.
FraudNet Portfolio Heatmap
Visualize risk trends and hot spots in one live dashboard.
FraudNet KYB Intelligence
Screen applicants instantly with multi-source identity checks.
FraudNet AI Detection
Score every transaction in milliseconds across channels.
FraudNet Policy Engine
Deploy custom rules to auto-flag chargeback or volume spikes.
Unified Merchant 360º View
Gain unparalleled insight into your merchants' risk profiles by integrating transactional, chargeback, and KYB data. Our Unified Merchant 360º View empowers acquirers to assess true risk posture, enabling proactive management and safeguarding your portfolio from potential threats and financial losses.
Real-Time Trend Alerts
Stay ahead of potential threats with real-time alerts that spotlight unusual patterns, empowering you to take swift action before losses mount. Protect your bottom line by detecting anomalies early, ensuring your portfolio remains secure and profitable.
Configurable AI-Native Models
Our AI-native models are designed specifically for acquirers, offering continuously learning algorithms that effortlessly adapt to emerging fraud vectors. Enjoy the peace of mind that comes with staying ahead of fraud trends without enduring lengthy retraining cycles, ensuring seamless protection and efficiency.
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 is Acquirer fraud trend visualization?
Acquirer fraud trend visualization is the process of using data visualization tools to identify and analyze patterns or trends in fraudulent activities related to payment processing. It helps acquirers to better understand and detect anomalies in transaction data, enabling them to take proactive measures to mitigate fraud.
Why is fraud trend visualization important for acquirers?
Fraud trend visualization is crucial for acquirers as it provides insights into the evolving nature of fraudulent activities. By visualizing these trends, acquirers can quickly identify emerging threats, adjust their fraud prevention strategies, and minimize financial losses. It also helps in improving the overall security of payment systems and enhancing customer trust.
What tools are commonly used for fraud trend visualization?
Common tools for fraud trend visualization include data analytics platforms like Tableau, Power BI, and specialized fraud detection software that offer visualization capabilities. These tools help acquirers to create dashboards, charts, and graphs that illustrate transaction patterns, highlight anomalies, and support data-driven decision-making in fraud prevention.
How can acquirers benefit from real-time fraud trend visualization?
Real-time fraud trend visualization allows acquirers to monitor transactions instantaneously, enabling them to detect and respond to fraudulent activities as they occur. This immediacy helps in reducing the risk of financial loss, improving response times, and enhancing the effectiveness of fraud prevention measures. It also aids in maintaining regulatory compliance and protecting customer information.
What challenges do acquirers face in implementing fraud trend visualization?
Acquirers face challenges such as integrating diverse data sources, ensuring data accuracy, and dealing with large volumes of transaction data. Additionally, they need to invest in the right technology and expertise to effectively interpret visualized data. Overcoming these challenges is essential for developing a comprehensive understanding of fraud trends and improving prevention strategies.
How does machine learning enhance fraud trend visualization?
Machine learning enhances fraud trend visualization by enabling the analysis of large datasets to identify complex patterns and anomalies that may not be visible through traditional methods. By learning from historical data, machine learning models can predict potential fraud scenarios and improve the accuracy of fraud detection. This leads to more effective visualization of trends and better-informed decisions by acquirers.