Are Rising Chargebacks and Fraudulent Merchants Draining Your Resources?
Gain control over chargebacks and fraud, safeguard profits, and strengthen your relationships with networks and sponsor banks.
High Chargeback Exposure
As an acquirer, unchecked merchant chargebacks trigger rising network fines, claw back interchange, and strain sponsor-bank relationships. Limited real-time insight into merchant abuse prevents early intervention and inflates operational losses.
Risky Merchant Onboarding
Without instant KYB and behavioral scoring, acquirers may board shell companies, sanctioned entities, or high-risk verticals. These merchants can quickly accrue fraud, threatening portfolio profitability and regulator trust.
Blind Spots in Portfolio Fraud
Cross-merchant CNP fraud often hides in aggregate data. Fragmented systems make it difficult for acquirers to correlate patterns, allowing bad actors to reroute traffic across MIDs until losses spike.
Inefficient Case Investigations
Analysts juggle spreadsheets, gateways, and network portals to investigate alerts. Manual workflows prolong dispute windows, raise labor costs, and weaken evidence when defending chargebacks with card schemes.
FraudNet Solutions: Empowering You to Combat Merchant Risks
Boost acquirer efficiency and profits with FraudNet by managing chargebacks and fraudulent merchants effectively.
Merchant Policy Monitoring
Real-time alerts when merchants breach chargeback or refund thresholds.
KYB Risk Scoring
Score new merchants instantly to block illicit or non-compliant businesses.
Transaction Monitoring
AI scoring approves or declines CNP/CP payments within 300 ms.
Merchant Dashboard
Unified view of portfolio risk, trends, and case workflow status.
Millisecond AI Detection
Prevent fraud before it happens by leveraging our millisecond AI detection. Score each transaction at the gateway to minimize losses without hindering legitimate sales. Enhance your portfolio's profitability and security, ensuring smooth operations and increased trust with regulators and partners.
Unified Case Workspace
Streamline your fraud investigations with a unified dashboard that consolidates all evidence, notes, and timelines. Empower your analysts to resolve alerts 40% faster and increase your success rate in representments, ultimately safeguarding your portfolio and strengthening client trust.
Automated Compliance Trails
FraudNet simplifies compliance for acquirers by automatically generating audit logs and dispute packets. This ensures you meet card-brand, PCI, and local regulatory standards effortlessly, reducing manual workload and allowing you to focus on maintaining strong, compliant relationships with your merchants.
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 Acquirer fraud case management?
Acquirer fraud case management involves monitoring, identifying, and mitigating fraudulent activities associated with payment transactions processed by acquiring banks. It includes using tools and processes to detect suspicious patterns, investigating potential fraud cases, and implementing measures to prevent future fraud. The goal is to protect merchants and consumers while minimizing financial losses and maintaining trust in the payment ecosystem.
How does machine learning enhance fraud detection in acquirer fraud case management?
Machine learning enhances fraud detection by analyzing large volumes of transaction data to identify patterns and anomalies indicative of fraud. It continuously learns from new data, improving its accuracy over time. This allows acquirers to quickly detect and respond to emerging fraud trends, reducing false positives and enhancing the efficiency of fraud investigations. Machine learning models can adapt to evolving fraud tactics, providing a proactive approach to fraud prevention.
What are common indicators of fraud that acquirers should look out for?
Common indicators of fraud include unusual transaction patterns, such as a high volume of transactions in a short period, transactions from high-risk locations, multiple declined attempts, and discrepancies between billing and shipping addresses. Other signs include sudden changes in purchasing behavior, use of multiple cards for a single account, and transactions just below certain threshold limits. Acquirers should employ advanced analytics to effectively monitor and identify these red flags.
Why is real-time monitoring important in fraud case management?
Real-time monitoring is crucial because it enables acquirers to detect and respond to fraudulent activities as they occur, minimizing potential financial losses and reputational damage. By analyzing transactions in real-time, acquirers can immediately flag suspicious activities, block fraudulent transactions, and prevent further unauthorized actions. This timely response not only protects merchants and cardholders but also enhances the overall integrity and security of the payment processing ecosystem.
How do acquirers handle false positives in fraud detection?
Acquirers handle false positives by employing advanced algorithms and machine learning models to refine their fraud detection processes. They continuously update and train these systems with new data to reduce the occurrence of false positives. Additionally, acquirers may conduct manual reviews of flagged transactions to differentiate between genuine and fraudulent activities. Effective communication with merchants and consumers also helps in resolving cases swiftly and maintaining customer trust.
What role does data analytics play in acquirer fraud case management?
Data analytics plays a pivotal role by providing acquirers with insights into transaction patterns and behaviors that may indicate fraud. Through the analysis of historical and real-time data, acquirers can identify trends, detect anomalies, and predict potential fraud scenarios. Analytics tools help in segmenting data, enabling more precise targeting of suspicious activities. This enhances decision-making processes, allowing acquirers to implement effective fraud prevention strategies and improve overall risk management.