Is Your Issuer Struggling with These Critical Challenges?
Address key threats with ease, protect your brand, boost cardholder trust, and stay compliant in a tightening landscape.
Account Takeovers (ATO)
Phishing, credential stuffing, and SIM swaps let criminals seize cardholder logins. Issuers eat chargebacks, rush card re-issues, and risk brand damage if they can’t spot ATOs mid-session.
Synthetic Identity Fraud
Fraudsters blend real and fake data to open new cards, then run up balances they never repay. Issuers absorb losses and face scrutiny for weak onboarding controls.
Costly False Declines
Over-aggressive rules reject good transactions, frustrating loyal cardholders and pushing volume to competing issuers. Lost interchange and customer churn quickly add up.
Rising Compliance Pressure
Mandates like PSD2 SCA, AML/KYC, and CFPB dispute windows tighten every year. Manual evidence gathering strains teams and raises the risk of fines or remediation orders.
Empower Fraud Prevention with FraudNet's Cutting-Edge Solutions
FraudNet empowers issuers to safeguard revenue, enhance customer trust, and streamline compliance effortlessly.
Real-Time Fraud Detection
Scores each authorization in <10 ms, blocking high-risk events instantly.
Behavioral Biometrics
Flags abnormal typing, swipes, or device changes before funds move.
Synthetic Identity Detection
Correlates identity signals to stop fake personas at account opening.
Compliance Monitoring Tools
Auto-builds PSD2, AML, and CFPB audit trails for regulators.
AI-Native Real-Time Detection
FraudNet's AI-driven analysis processes thousands of signals in milliseconds, empowering issuers to intercept fraud before authorization finalizes. This proactive approach safeguards interchange revenue and fortifies your brand's reputation by ensuring seamless, secure transactions for genuine cardholders.
Precision Without Friction
Our adaptive models slash false positives by up to 90%, ensuring your genuine cardholders experience seamless checkouts. This means higher approval rates and increased customer loyalty, empowering you to retain your valued clients and enhance your competitive edge in the market.
Unified Compliance Automation
Streamline your compliance processes effortlessly with our pre-built rule libraries, comprehensive audit logs, and intuitive dashboards. Stay in continuous alignment with PSD2, PCI DSS, and regional mandates while reducing manual reviews and safeguarding your operations against regulatory scrutiny.
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 detection?
Issuer real-time fraud detection is a technology used by financial institutions to monitor and analyze transactions as they occur. This system identifies potentially fraudulent activities by examining transaction patterns, user behavior, and other risk factors. By detecting fraud in real-time, issuers can take immediate action to prevent unauthorized transactions, minimizing financial losses and protecting both their customers and their reputation.
How does real-time fraud detection work?
Real-time fraud detection systems utilize advanced algorithms and machine learning models to analyze transactional data instantly. These systems evaluate factors such as transaction amount, location, device used, and historical behavior patterns. By comparing this data against known fraud indicators and patterns, the system can flag suspicious transactions. Once identified, these transactions can be automatically declined, or flagged for further investigation, enabling issuers to respond swiftly to potential threats.
What are the benefits of using real-time fraud detection for issuers?
Real-time fraud detection offers several benefits for issuers, including the ability to prevent financial losses by stopping fraudulent transactions before they are processed. It enhances customer trust and satisfaction by providing a secure transaction environment. Additionally, it helps issuers maintain compliance with regulatory requirements and reduces the operational costs associated with fraud investigation and chargebacks. Overall, it strengthens the issuer's reputation as a secure and reliable financial service provider.
What challenges do issuers face in implementing real-time fraud detection?
Issuers face several challenges in implementing real-time fraud detection, including the need for sophisticated technology and infrastructure to process and analyze large volumes of data quickly. Balancing false positives and false negatives is critical, as overly sensitive systems might inconvenience legitimate customers, while less sensitive systems might miss fraudulent activities. Additionally, issuers must stay updated with evolving fraud tactics and continuously refine their detection models to ensure effectiveness.
How do machine learning models enhance fraud detection capabilities?
Machine learning models enhance fraud detection by continuously learning from new data to identify complex patterns and trends associated with fraudulent activities. Unlike rule-based systems, machine learning can adapt to emerging fraud tactics and reduce the incidence of false positives. These models process vast amounts of data in real-time, improving accuracy and detection speed. As a result, issuers can proactively address potential threats and better protect their customers' financial assets.
What role do customer data and behavior play in fraud detection?
Customer data and behavior are crucial in fraud detection, as they provide the baseline for identifying anomalies. By analyzing patterns in spending habits, transaction locations, and device usage, detection systems can establish a norm for each customer. Deviations from these patterns, such as unusual transaction amounts or locations, can trigger alerts for potential fraud. This personalized approach enhances the accuracy of fraud detection, helping to differentiate between legitimate and fraudulent activities.