Are Manual Reviews and Outdated Tools Leaving Your Fraud Team Vulnerable?
Streamline your fraud detection with real-time insights, unified data, and scalable solutions to protect against evolving threats.
Manual, Spreadsheet-Driven Reviews
Issuer fraud teams pivot between tabs to flag outliers, delaying decisions and letting bad transactions slip through.
Fragmented Issuer Data Landscape
Card, ACH, and dispute records live in silos, forcing analysts to stitch insights together and miss cross-channel fraud.
Volume Spikes Outpace Legacy Tools
Holiday surges or portfolio growth overload spreadsheet models, leaving issuers blind to fast-moving fraud rings.
Mounting Regulatory Pressure
Meeting Reg E, PCI, and network rules without audit trails in spreadsheets risks fines and reputational damage.
FraudNet: Streamlined Solutions for Seamless Fraud Prevention
Boost issuer efficiency and security with FraudNet's seamless, real-time fraud prevention solutions.
Real-Time Transaction Monitoring
FraudNet scores every authorization in <300 ms—no sheets required.
Unified Fraud Data Hub
All issuer payment, case, and network data linked in one view.
Elastic Cloud Scalability
Auto-scales to billions of rows; zero manual re-engineering.
Automated Compliance Toolkit
Built-in audit logs, Reg E timers, and instant report exports.
AI-Native Precision
Experience the power of AI-driven precision that slashes false positives by up to 60%. Approve legitimate transactions seamlessly while blocking fraud instantly, ensuring your customers enjoy smooth, uninterrupted spending experiences—all while safeguarding your bottom line.
End-to-End Case Management
Transform your fraud investigation process with an all-in-one console that streamlines alert triage, workflow assignment, and evidence storage. Drastically cut investigation times from days to mere minutes, enhancing your efficiency and allowing you to focus on approving legitimate transactions.
Fast, Frictionless Deployment
Experience seamless integration with our API-first design that connects effortlessly with core issuer processors in just weeks. Say goodbye to spreadsheet headaches and heavy IT burdens, and say hello to streamlined operations and enhanced efficiency without the hassle.
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 an Issuer fraud spreadsheet alternative?
An Issuer fraud spreadsheet alternative is software or a platform designed to replace traditional spreadsheets for managing and detecting fraud. These alternatives offer more robust, automated, and scalable solutions for analyzing transaction data, identifying fraudulent patterns, and providing real-time alerts. They typically integrate advanced technologies like machine learning, artificial intelligence, and data analytics to enhance fraud detection capabilities beyond the limitations of manual spreadsheet processes.
Why should issuers consider using a fraud detection software instead of spreadsheets?
Issuers should consider using fraud detection software because it provides real-time monitoring and analysis, which is not feasible with spreadsheets. These software solutions use algorithms to detect anomalies and patterns indicative of fraud, offering more accuracy and efficiency. Additionally, they can handle large volumes of data seamlessly, reducing the likelihood of human error and enabling quicker responses to potential threats. This ultimately leads to better protection against fraud and reduced financial losses.
How does fraud detection software enhance accuracy in identifying fraudulent transactions?
Fraud detection software enhances accuracy by utilizing machine learning algorithms and big data analytics to automatically recognize patterns and anomalies that may indicate fraud. Unlike spreadsheets, these systems continuously learn from new data inputs, improving their predictive capabilities over time. They can process vast amounts of data far more quickly and accurately than manual methods, ensuring that suspicious activities are flagged promptly for further investigation, thereby reducing false positives and missed fraud instances.
Can fraud detection software integrate with existing financial systems?
Yes, most fraud detection software solutions are designed to integrate seamlessly with existing financial systems. They provide APIs and other integration tools that allow them to connect with various data sources, including transaction databases, customer management systems, and payment gateways. This integration facilitates real-time data exchange, enabling the software to continually monitor transactions for fraudulent activity without disrupting existing workflows or requiring extensive changes to current systems.
What features should issuers look for in a fraud detection software?
Issuers should look for features such as real-time transaction monitoring, machine learning-based anomaly detection, customizable rule sets, and comprehensive reporting capabilities. Additionally, user-friendly interfaces, scalability to handle large transaction volumes, and seamless integration with existing systems are crucial. The software should also offer robust customer support and regular updates to adapt to evolving fraud tactics. These features ensure enhanced protection against fraud and efficient management of fraudulent activities.
How does machine learning improve fraud detection compared to traditional methods?
Machine learning improves fraud detection by automatically identifying complex patterns and relationships within large datasets that traditional methods might overlook. It evolves and adapts by learning from new data, becoming more accurate over time. Unlike static rules-based systems, machine learning models can detect novel fraud patterns and adapt to changing behaviors. This dynamic capability enhances the accuracy and speed of fraud detection, reducing false positives and improving the identification of legitimate threats.