Are You Struggling with These Common Fraud Management Challenges?
Discover solutions that streamline processes, enhance fraud detection accuracy, and ensure compliance, boosting efficiency and merchant trust.
Excessive False Positives
Rigid acquirer rulesets flag too many good transactions, flooding teams with alerts, straining analyst capacity, and damaging merchant confidence.
Fragmented Monitoring Tools
Multiple, siloed systems split card-present, card-not-present, and APM data, preventing a unified fraud view and masking cross-channel attack patterns.
Labor-Intensive Investigations
Analysts manually sift through alerts, spreadsheets, and network data, slowing decision times, raising chargeback exposure, and inflating operational costs.
Regulatory Compliance Pressure
Evolving PCI, PSD2, and network mandates force constant rule and report updates; missed changes risk fines and reputational harm for acquirers.
Transform Fraud Management with FraudNet's Cutting-Edge Solutions
Optimize fraud detection, reduce operational strain, and ensure compliance effortlessly with FraudNet's comprehensive solutions for acquirers.
FraudNet Unified Data Lake
Merges all payment data for a 360° fraud view.
FraudNet Real-Time Scoring
AI scores each transaction in <50 ms to trim false positives.
FraudNet Smart Case Manager
Auto-prioritizes alerts and routes tasks to cut review time.
FraudNet Compliance Guard
Automates PCI & PSD2 reporting, easing audit prep.
Reduced False Positives
Harness the power of AI-native models that meticulously analyze hundreds of risk signals per transaction. This ensures smooth approval of legitimate merchant traffic while intercepting fraud at the earliest stage, protecting your bottom line and enhancing merchant trust.
Unified Data Visibility
Unlock unparalleled insights with our unified data layer that seamlessly connects terminals, e-commerce platforms, and alternative payment methods. Empower your team to detect and thwart coordinated fraud attacks across channels, ensuring robust security and enhancing merchant trust.
Streamlined Investigations
Revolutionize your fraud investigations with automated alert prioritization, comprehensive case notes, and detailed audit trails. Empower your analysts to concentrate on intricate fraud patterns rather than mundane tasks, accelerating review cycles and enhancing your operational efficiency. Stay ahead with streamlined, intelligent fraud 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 fraud alert fatigue?
Acquirer fraud alert fatigue refers to the diminishing response and effectiveness of fraud detection teams due to the overwhelming volume of alerts generated by fraud detection systems. When acquirers receive too many alerts, especially false positives, it can lead to desensitization, reduced vigilance, and potentially missing actual fraudulent activities.
What causes fraud alert fatigue in acquirers?
Fraud alert fatigue is primarily caused by high volumes of alerts, many of which may be false positives. This can be due to overly sensitive fraud detection systems, lack of tailored alert thresholds, and inadequate filtering mechanisms. When acquirers are inundated with non-critical alerts, it leads to mental exhaustion and reduced attention to genuine threats.
How can acquirers manage fraud alert fatigue?
Acquirers can manage fraud alert fatigue by implementing more precise and adaptive fraud detection systems that minimize false positives. This includes using machine learning algorithms for better accuracy, continuously updating fraud detection rules, and segmenting alerts based on risk levels. Regular staff training and workload management can also help in maintaining alert effectiveness.
What are the risks of ignoring fraud alert fatigue?
Ignoring fraud alert fatigue can lead to significant risks, including missing genuine fraudulent activities, financial losses, reputational damage, and regulatory penalties. It can also result in operational inefficiencies and increased costs due to handling unnecessary alerts, as well as decreased morale and productivity within fraud detection teams.
How does machine learning help reduce fraud alert fatigue?
Machine learning helps reduce fraud alert fatigue by analyzing vast amounts of transaction data to identify patterns and anomalies with greater accuracy. It can dynamically adjust fraud detection parameters, reduce false positives, and prioritize alerts based on risk levels. This ensures that acquirers focus on the most critical alerts, thus reducing the cognitive load on fraud detection teams.
What role does staff training play in combating fraud alert fatigue?
Staff training plays a crucial role in combating fraud alert fatigue by ensuring that team members are equipped with the skills and knowledge to effectively handle alerts. Training programs can teach staff how to prioritize alerts, use detection tools efficiently, and recognize emerging fraud patterns. Continuous education helps maintain high engagement levels and reinforces the importance of vigilance against fraud.