Are You Struggling with These Common Merchant Risk Challenges?
Overcome merchant risk challenges with proactive monitoring and real-time insights to protect revenue and enhance portfolio security.
High Chargeback Exposure
Unchecked refund and dispute spikes push merchants over card-scheme thresholds, forcing you to absorb fines, allocate costly reserves, and explain rising loss ratios to regulators and investors.
Onboarding Risk Of High-Risk Merchants
Without instant KYB insight, shell companies and bad actors slip into your portfolio, exposing you to money-laundering probes, brand-damage headlines, and costly merchant terminations.
Fraudulent Transactions Across Portfolios
Detecting CNP fraud in real time across thousands of MID-level data streams is daunting, letting coordinated attacks drain interchange revenue and inflate scheme-reported fraud rates.
Lack Of Merchant Behavior Visibility
Siloed data hides early warning signs—sudden refund bursts, MCC drift, or traffic anomalies—limiting your ability to intervene before losses cascade through the acquiring stack.
Enhance Security with FraudNet's Cutting-Edge Solutions
Enhance your risk management with FraudNet, ensuring secure, compliant, and profitable merchant relationships for acquirers.
Merchant Policy Monitoring
Track chargebacks, refunds, and volumes live to flag breaches before fines hit.
KYB Risk Scoring
Score applicants via identity, device, and business data to block risky merchants early.
Real-Time Transaction Monitoring
Score every CP/CNP authorization in milliseconds, stopping fraud before settlement.
Merchant Dashboard
View portfolio risk trends in one console for faster, data-driven interventions.
AI-Native, Millisecond Decisions
Experience lightning-fast, AI-driven decision-making on every transaction authorization. Our advanced machine learning models minimize fraud and false positives, ensuring seamless operations without any added latency. Empower your acquiring business with precision risk management that keeps your revenue secure and your clients satisfied.
Unified Merchant 360° View
FraudNet seamlessly integrates onboarding, transaction, and behavioral insights, offering acquirers a comprehensive view of each merchant's risk profile. Gain immediate clarity to proactively manage threats, enhance portfolio security, and make data-driven decisions that safeguard your revenue and reputation.
Automated Compliance Reporting
Our automated compliance reporting uses pre-built card-scheme and regulatory templates to showcase the effectiveness of your controls. This not only simplifies audits but also bolsters stakeholder confidence, ensuring you maintain a strong, trustworthy relationship with regulators and investors alike.
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 control effectiveness?
Acquirer fraud control effectiveness refers to the measures and strategies implemented by acquiring banks to mitigate and prevent fraudulent activities in payment processing. This involves deploying advanced fraud detection systems, setting up transaction monitoring protocols, and ensuring compliance with industry regulations to protect both merchants and consumers from fraud-related losses.
How can Acquirers assess the effectiveness of their fraud control measures?
Acquirers can assess the effectiveness of their fraud control measures by analyzing key performance indicators (KPIs) such as the fraud-to-sales ratio, chargeback rates, and false positive rates. Regular audits and reviews of fraud detection systems, as well as feedback from merchants, can also provide insights into the efficacy of fraud prevention strategies and highlight areas for improvement.
What role does machine learning play in fraud detection for Acquirers?
Machine learning plays a crucial role in fraud detection by enabling Acquirers to analyze vast amounts of transaction data in real-time, identify patterns, and predict fraudulent behavior. Machine learning algorithms can adapt to new fraud tactics, reducing false positives and improving detection accuracy. This helps in making informed decisions quickly, thereby enhancing the overall effectiveness of fraud control measures.
Why is collaboration important for enhancing fraud control effectiveness?
Collaboration is vital for enhancing fraud control effectiveness as it enables Acquirers, merchants, and payment networks to share information and best practices. By participating in industry forums and working with other stakeholders, Acquirers can stay updated on emerging fraud trends and technologies, develop comprehensive strategies, and implement coordinated efforts to combat fraud, ultimately leading to more robust and adaptive fraud prevention systems.
What challenges do Acquirers face in maintaining effective fraud control?
Acquirers face several challenges in maintaining effective fraud control, including the rapidly evolving nature of fraud tactics, the need to balance security with customer experience, and managing the cost of implementing advanced detection systems. Additionally, regulatory compliance and data privacy concerns add complexity, requiring Acquirers to continuously adapt their strategies and invest in technology and personnel to keep up with the changing fraud landscape.
How does transaction monitoring contribute to fraud control effectiveness?
Transaction monitoring contributes significantly to fraud control effectiveness by allowing Acquirers to track and analyze transactions in real-time for suspicious activities. This continuous surveillance helps in promptly identifying and responding to potential fraud, minimizing losses, and protecting consumer data. Effective transaction monitoring involves setting up rules and alerts for unusual patterns, leveraging machine learning for predictive analytics, and ensuring seamless integration with other fraud detection tools.