Are These Payment Security Challenges Putting Your Business at Risk?
Protect your business from costly fraud, lost revenue, and regulatory fines with enhanced payment security measures for issuers.
Account Takeovers (ATO)
Phishing, credential stuffing, and SIM-swap attacks let criminals hijack cardholder logins, forcing issuers to absorb chargebacks, reissue cards, and handle reputational fallout.
Synthetic Identity Fraud
Fraudsters combine real and fake data to open new cards. Issuers face unpaid balances, write-offs, and regulatory scrutiny for weak onboarding controls.
False Declines
Over-aggressive rules reject legitimate transactions, driving cardholders to rival payment options and cutting interchange revenue for issuers.
Rising Compliance Pressure
Issuers must meet PSD2, AML, and CFPB mandates. Manual reporting and siloed data increase audit risk and inflate operational costs.
Elevate Fraud Defense with FraudNet's Cutting-Edge Solutions
Ensure secure transactions and protect revenue by leveraging Fraudnet's advanced fraud prevention solutions for issuers.
Global Fraud Intelligence Hub
Shares cross-issuer insights to stop emerging fraud without overblocking.
Transaction Monitoring
Score every authorization in milliseconds to spot fraud.
Synthetic ID Detection
Cross-check identity signals to surface fabricated personas.
Account Takeover Prevention
Track devices and behavior to flag risky logins instantly.
AI-Native Real-Time Detection
FraudNet's lightning-fast scoring analyzes each transaction in milliseconds, intercepting threats before they reach authorization. This ensures your interchange revenue is protected while maintaining seamless cardholder experiences, keeping genuine transactions flowing smoothly and securely.
Precision That Cuts False Declines
Unlock the power of adaptive models that understand your unique risk landscape. Approve more legitimate transactions, enhance cardholder satisfaction, and minimize customer friction, all while maintaining robust security. Elevate your portfolio's performance with precision that drives genuine spending and loyalty.
Audit-Ready Compliance Tools
Streamline your compliance efforts with detailed audit trails. Effortlessly meet PSD2, AML, and CFPB requirements while reducing audit risks and operational costs, allowing you to focus on delivering exceptional value to 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 real-time fraud visibility?
Issuer real-time fraud visibility refers to the capability of financial institutions, like banks and credit card issuers, to monitor, detect, and respond to fraudulent activities as they happen. This involves using advanced analytics and machine learning to analyze transaction data instantly, enabling issuers to make immediate decisions to prevent fraud, minimize losses, and enhance security for cardholders.
How does real-time fraud detection benefit issuers?
Real-time fraud detection helps issuers by allowing them to quickly identify and respond to suspicious activities, reducing the risk of financial losses and protecting customers. It enhances customer trust by providing a secure transaction environment, minimizes the impact of fraud on operational efficiency, and supports compliance with regulatory requirements related to fraud prevention and data security.
What technologies are commonly used in real-time fraud detection systems?
Real-time fraud detection systems often leverage technologies such as machine learning, artificial intelligence, big data analytics, and behavioral analytics. These technologies help analyze vast amounts of transaction data quickly, identify patterns that may indicate fraud, and adapt to new fraud tactics by learning from past incidents. This technological backbone enables issuers to respond to evolving threats effectively.
Can real-time fraud detection systems reduce false positives?
Yes, real-time fraud detection systems can reduce false positives by using advanced analytics and machine learning algorithms to better distinguish between legitimate and fraudulent transactions. By analyzing patterns and behaviors, these systems can refine their accuracy over time, minimizing disruptions for cardholders due to unnecessary transaction declines, while still effectively identifying genuine threats.
What challenges do issuers face with real-time fraud detection?
Issuers face several challenges with real-time fraud detection, including the need for sophisticated technology and infrastructure to process data quickly, the constant evolution of fraud tactics requiring continuous system updates, and balancing security with customer experience to avoid inconveniencing legitimate transactions. Additionally, managing false positives and integrating detection systems with existing platforms are common hurdles.
How do issuers integrate real-time fraud detection into their existing systems?
Issuers typically integrate real-time fraud detection into their existing systems by deploying APIs and leveraging cloud-based solutions that allow seamless data exchange and processing. They may work with third-party vendors to incorporate advanced analytics tools and machine learning models. Integration also involves ensuring that these systems can communicate effectively with other parts of the institution's technology stack, including transaction processing and customer service platforms.