Are Your Fraud Detection Tools Keeping Up with Today's Transaction Challenges?
Optimize fraud detection to protect your brand, reduce chargebacks, and enhance cardholder trust amidst high transaction volumes.
High-Volume Transaction Fraud
Issuer authorization queues flood with millions of transactions daily, making it hard to spot sophisticated fraud patterns quickly enough to avoid chargebacks, write-offs, and brand damage.
Scalability Limits In Legacy Tools
Rules-based engines struggle to keep pace with surges in card spend, forcing issuers to raise fraud thresholds or accept soaring false positives that alienate legitimate cardholders.
Complex Integration Constraints
Core banking and card-management systems were not built for modern APIs, so plugging in new fraud-detection feeds often means long IT queues, budget overruns, and downtime risk.
Delayed, Non-Real-Time Insights
Batch reporting surfaces threats hours—or days—late, preventing issuers from blocking fraud pre-authorization and exposing portfolios to regulatory scrutiny and loss-recovery headaches.
Unleash FraudNet: Transforming Fraud Prevention with Cutting-Edge Solutions
FraudNet empowers issuers to swiftly counter fraud, enhancing security and reducing operational burdens.
AI-Native Transaction Scoring
FraudNet scores every swipe in <50 ms, halting fraud before approval.
Elastic Cloud Architecture
Instantly scales to peak issuer volumes without performance loss.
Low-Code API Connectors
Prebuilt adapters snap into legacy cores in weeks, not quarters.
Real-Time Case Alerts
Pushes actionable alerts to analysts and mobile apps instantly.
Millisecond-Level Decisioning
Experience adaptive risk assessment in real-time, empowering you to instantly block fraudulent transactions while ensuring a seamless customer journey. Protect your interchange revenue with precision scoring during authorization, maintaining trust and satisfaction among your cardholders without compromising on fraud defense.
Unified Fraud Command Center
Streamline your fraud management with FraudNet's unified dashboard that integrates issuer, network, and consortium data seamlessly. Benefit from automated workflows that significantly reduce analyst workload and expedite audit preparation, ensuring efficient operations and enhanced fraud detection for a more secure portfolio.
Elastic, Pay-As-You-Grow Model
Our cloud-native capacity effortlessly scales with your transaction volume, ensuring you're always protected, even during seasonal surges. Say goodbye to hefty capital expenses and the stress of over-provisioning—maintain seamless operations and focus on what truly matters: serving your cardholders.
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 issuer high-volume transaction fraud?
Issuer high-volume transaction fraud refers to fraudulent activities where a large number of transactions are processed in a short period, often targeting credit or debit card issuers to exploit their systems and processes.
How can issuers detect high-volume transaction fraud?
Issuers can detect high-volume transaction fraud by utilizing advanced fraud detection systems that use machine learning algorithms, monitoring transaction patterns for anomalies, and setting up real-time alerts for suspicious activities.
What are common indicators of high-volume transaction fraud?
Common indicators include a sudden surge in transaction volumes, transactions from unusual locations or IP addresses, multiple transactions from the same account within a short timeframe, and the use of compromised or stolen card details.
What steps can issuers take to prevent high-volume transaction fraud?
Issuers can enhance security by implementing multi-factor authentication, regularly updating fraud detection systems, conducting thorough risk assessments, educating customers on fraud risks, and collaborating with other financial institutions to share threat intelligence.
How does machine learning help in combating high-volume transaction fraud?
Machine learning assists in combating fraud by analyzing vast amounts of transaction data to identify patterns and anomalies that are indicative of fraudulent activity. It enables issuers to detect and respond to fraud attempts in real-time with greater accuracy.
What should customers do if they suspect their account is involved in high-volume transaction fraud?
Customers should immediately contact their bank or card issuer to report any suspicious activity. They should monitor their account statements regularly, change their online banking passwords, and consider placing a fraud alert on their credit reports.