Are Chargebacks, Onboarding Risks, and Fraud Threatening Your Merchant Relations?
Enhance merchant relations by reducing chargebacks, onboarding risks, and fraud, while safeguarding your interchange margins and reputation.
High Chargeback Exposure
Excessive chargebacks and network fines erode interchange margins and strain acquirer–merchant relations.
Onboarding Risk of High-Risk Merchants
Without instant KYB, acquirers may unknowingly board merchants tied to fraud, sanctions, or illicit goods.
Fraudulent Transactions Across Portfolios
CNP fraud spikes can spread unnoticed across thousands of MID-level accounts before manual reviews flag them.
Lack of Merchant Behavior Visibility
Siloed data obscures real-time insight into refund abuse, abnormal sales spikes, or policy breaches by each MID.
FraudNet: Transforming Merchant Risk Management with AI Solutions
Enhance merchant relations by swiftly mitigating risks, reducing chargebacks, and preventing fraud with FraudNet.
Merchant Policy Monitoring
Live thresholds flag chargeback, refund, or sales anomalies instantly.
KYB Risk Scoring
Identity, business, and screening checks rate merchants in seconds.
Transaction Monitoring
Millisecond CP/CNP scoring blocks fraud before authorization completes.
Merchant Dashboard
Unified view monitors merchants by risk, trends, and compliance status.
Real-Time Portfolio Oversight
Experience unparalleled control with real-time insight into every MID's chargebacks, refunds, and declines. This empowers you to take proactive measures, reducing scheme fines and enhancing your acquirer-merchant relationships by addressing issues before they escalate. Stay ahead with informed, timely interventions.
Adaptive AI Scoring
Harness the power of FraudNet's AI-native models, which seamlessly integrate global intelligence with your unique data. This adaptive technology minimizes false positives and identifies emerging threats, ensuring acquirers like you stay ahead in fraud prevention and safeguard your merchant relationships.
Unified Case Workflow
Streamline your operations with a unified console that connects alerts, evidence, and actions. This efficient workflow reduces analyst workload and accelerates communication with merchants, allowing you to swiftly address issues and maintain strong acquirer–merchant relationships while enhancing overall portfolio management.
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 real-time fraud visibility?
Acquirer real-time fraud visibility is a technology solution that enables payment acquirers to monitor and analyze transactions in real-time to detect and prevent fraudulent activities. It provides insights into transaction patterns, flags suspicious activities, and helps acquirers take immediate action to mitigate potential fraud risks. This technology is essential for maintaining trust with merchants and cardholders while minimizing financial losses due to fraud.
How does real-time fraud detection work?
Real-time fraud detection works by analyzing transaction data as it occurs, using advanced algorithms and machine learning to identify patterns and anomalies indicative of fraudulent activity. This process involves checking transactions against known fraud indicators, historical data, and behavioral patterns. When a suspicious transaction is detected, the system can trigger alerts for further investigation or take automated actions, such as blocking the transaction, to prevent potential fraud.
What are the benefits of implementing real-time fraud visibility for acquirers?
Implementing real-time fraud visibility offers several benefits for acquirers, including reduced financial losses due to fraud, enhanced customer trust, and improved regulatory compliance. It enables acquirers to proactively identify and mitigate fraud risks, leading to better relationships with merchants and cardholders. Additionally, it helps acquirers optimize their fraud management resources by focusing efforts on high-risk transactions and reducing false positives, which can improve operational efficiency.
How does machine learning enhance real-time fraud detection?
Machine learning enhances real-time fraud detection by continuously analyzing transaction data to learn and adapt to new fraud patterns. It improves the accuracy of detecting anomalies by recognizing subtle and complex patterns that traditional rule-based systems might miss. Machine learning models can evolve with emerging fraud tactics, providing acquirers with a dynamic and responsive fraud detection system that reduces false positives and increases the detection rate of genuine fraud attempts.
What challenges do acquirers face in implementing real-time fraud visibility?
Acquirers face several challenges in implementing real-time fraud visibility, including integrating with existing systems, managing large volumes of data, and ensuring low latency in transaction processing. There's also the challenge of balancing fraud detection with customer experience, as overly aggressive measures can lead to false positives and disrupted transactions. Additionally, staying ahead of evolving fraud tactics requires continuous updates to detection models and collaboration with industry stakeholders.
How can real-time fraud visibility improve regulatory compliance for acquirers?
Real-time fraud visibility helps acquirers meet regulatory compliance requirements by providing detailed transaction monitoring and reporting capabilities. It ensures that acquirers can promptly detect and report suspicious activities, meeting the standards set by regulatory bodies. This proactive approach not only aids in compliance with anti-money laundering (AML) and payment card industry data security standards (PCI DSS) but also protects the acquirer's reputation and reduces the risk of penalties associated with non-compliance.