Are High Chargebacks and Fraud Risks Eating Into Your Profits?
Protect your margins and reputation by identifying and mitigating high-risk merchants and fraud before it impacts your bottom line.
High Chargeback Exposure
Excessive chargebacks and network fines erode margins and damage acquirer reputation. Limited early-warning tools make it hard to spot merchants driving disputes until losses are already booked.
Onboarding Risk of High-Risk Merchants
Without real-time KYB intelligence, acquirers may approve shell companies, illicit storefronts, or bust-out schemes, inheriting legal liability and future fraud losses across the portfolio.
Undetected CNP Fraud Across Portfolios
Card-not-present attacks move rapidly between merchants. Siloed data prevents acquirers from linking patterns, letting fraud rings exploit multiple MIDs before manual reviews catch up.
Limited Visibility Into Merchant Behavior
Fragmented monitoring obscures spikes in refunds, sales-to-chargeback ratios, or abnormal traffic. Lack of granular analytics delays intervention and weakens compliance reporting.
FraudNet Solutions: Proactively Combat Fraud and Safeguard Profits
FraudNet empowers acquirers to swiftly mitigate chargebacks and fraud, safeguarding profits and reputation.
Real-Time Merchant Monitoring
Blocks risky traffic before losses occur.
Dynamic KYB Scoring
Flags illicit applicants at signup, slashing onboarding fraud.
Portfolio CNP Analytics
Spots cross-merchant fraud patterns instantly.
Chargeback Risk Alerts
Predicts dispute spikes for early intervention.
AI-Native Precision Scoring
FraudNet harnesses billions of data signals to deliver lightning-fast decisions, reducing false positives while effectively identifying new fraud patterns. Enhance your acquirer operations with precision scoring that ensures security without compromising on efficiency, keeping your portfolio safe and profitable.
Unified Risk Dashboard
Gain unparalleled insight with our unified risk dashboard, where KYB, transaction, and chargeback data converge seamlessly. Empower your team to swiftly analyze merchant-level trends and make real-time decisions, ensuring proactive management and enhanced protection for your portfolio.
Lower TCO & Rapid Deployment
Streamline your operations with our cloud-based APIs, which integrate seamlessly in just weeks. Replace multiple point tools and significantly reduce costs associated with investigations, infrastructure, and compliance, all while enhancing efficiency and maintaining a competitive edge in the market.
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 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, among others. It uses machine learning models and rule-based algorithms to analyze transaction patterns and behaviors that deviate from the norm, making it easier for acquirers to flag suspicious activities quickly and reduce false positives.
How does machine learning enhance fraud detection?
Machine learning enhances fraud detection by continuously analyzing data patterns and learning from new fraud scenarios. It adapts to evolving tactics used by fraudsters and improves its accuracy over time. For acquirers, this means a more dynamic and responsive system that can detect subtle changes in transaction behavior, leading to more accurate predictions and fewer false positives, ultimately saving costs and improving security.
What are the cost-effective strategies for fraud detection?
Cost-effective strategies for fraud detection include implementing machine learning models that can process large datasets quickly, using real-time monitoring systems to catch fraud as it happens, and employing a risk-based approach to prioritize resources on high-risk transactions. Acquirers can also benefit from collaborative data sharing within the industry to identify fraud patterns. These strategies reduce manual investigation costs and enhance the efficiency of fraud detection systems.
How can acquirers reduce false positives in fraud detection?
Acquirers can reduce false positives by fine-tuning their fraud detection algorithms and incorporating more contextual data into their analysis. Using machine learning, they can continuously update their models with new data, improving accuracy. Behavioral analytics and customer profiling also help in distinguishing legitimate transactions from fraudulent ones. Regularly reviewing and adjusting rules based on the latest fraud trends ensures that the system remains effective without blocking genuine transactions.
What role does data sharing play in fraud detection?
Data sharing plays a crucial role in fraud detection by allowing acquirers to access a broader spectrum of transaction data and fraud patterns. By collaborating with industry peers and sharing anonymized data, acquirers can gain insights into emerging fraud tactics and improve their detection models. This collective intelligence helps in identifying coordinated attacks and developing more robust defenses, ultimately enhancing the overall efficiency and cost-effectiveness of fraud prevention strategies.
Why is real-time fraud detection important for acquirers?
Real-time fraud detection is important for acquirers because it allows them to identify and prevent fraudulent transactions as they happen, minimizing potential losses. This immediate response capability helps maintain customer trust and reduces the impact of fraud on both the acquirer and the merchant. By integrating real-time analytics, acquirers can quickly adapt to new fraud patterns and provide a seamless experience for legitimate customers, which is crucial for maintaining competitive advantage.