Are These Critical Pain Points Threatening Your Financial Security?
Protect your financial security by addressing these critical challenges, boosting customer trust, and safeguarding your revenue.
Account Takeovers (ATO)
Phishing, credential stuffing, and SIM swaps let fraudsters hijack cardholder logins. Issuers eat chargebacks, scramble to restore access, and absorb call-center spikes—all while reputational damage drives customers to rival cards.
Synthetic Identity Fraud
Criminals blend real and fabricated data to open new accounts. Losses surface months later as unpaid balances, skewing credit models and forcing issuers to write off uncollectible debt.
False Declines
Overly rigid rules reject good transactions to stay safe. Legitimate cardholders abandon purchases, dispute denials, and switch to competitors, draining interchange revenue and NPS scores.
Rising Compliance Pressure
Mandates like PSD2, AML, and CFPB tighten scrutiny. Issuers must prove robust controls, maintain detailed audit trails, and adapt quickly—without inflating operational budgets.
Combat Fraud with FraudNet's Cutting-Edge Solutions
FraudNet empowers issuers to tackle fraud efficiently, ensuring secure transactions and protecting customer trust.
Entity Screening & Onboarding
Blocks fake applicants early, cutting ATO and synthetic risk at minimal cost.
Transaction Monitoring
Real-time ML scores stop suspicious payments, reducing fraud losses and reviews.
Synthetic ID Detection
Detects patched IDs instantly, protecting credit lines and issuer margins.
Account Takeover Prevention
Behavioral biometrics flags hijacked logins, preventing unauthorized spend.
High-Accuracy AI-Native Scoring
FraudNet empowers issuers by reducing fraud losses by up to 80% and minimizing false positives by 92%. This means you can confidently approve more legitimate transactions, enhancing customer satisfaction and loyalty, while maintaining robust security without increasing your risk exposure.
Unified, Automated Workflows
Streamline your fraud investigation process with our end-to-end case management and automated alert triage. By reducing investigation costs by 60%, you can free your analysts to focus on strategic, higher-value tasks, enhancing efficiency and driving better outcomes for your organization.
Scalable, Compliance-Ready Platform
Our cloud-based platform adapts seamlessly to peak transaction volumes, integrating AML and KYC tools to ensure you're always audit-ready. Stay compliant without inflating your budget, as our solution optimizes cost efficiency while maintaining robust security and regulatory standards.
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 cost-effective fraud detection?
Issuer cost-effective fraud detection refers to the strategies and technologies used by financial institutions that issue credit and debit cards to identify and prevent fraudulent activities in a way that is efficient and financially viable. It involves utilizing tools like AI, machine learning, and real-time analytics to minimize false positives and operational costs while effectively blocking fraudulent transactions.
How does machine learning help in fraud detection for issuers?
Machine learning helps issuers detect fraud by analyzing vast amounts of transaction data to identify patterns and anomalies that suggest fraudulent activity. These systems continually learn and adapt to new fraud tactics, improving their accuracy over time. By automating the detection process, machine learning reduces the need for manual review, lowers operational costs, and improves the accuracy of fraud detection, resulting in fewer false positives and better customer experience.
What are the cost benefits of using fraud detection systems for issuers?
Fraud detection systems provide cost benefits by reducing financial losses from fraudulent transactions, lowering chargeback rates, and minimizing the resources needed for manual fraud investigation and resolution. They also enhance customer satisfaction by reducing false declines and improving transaction accuracy. Additionally, these systems help issuers comply with regulatory requirements, avoiding potential fines and penalties, and enabling a more efficient allocation of resources to other business areas.
What role does real-time analytics play in fraud detection?
Real-time analytics is crucial for fraud detection as it allows issuers to instantly analyze transaction data and identify suspicious activities as they occur. By processing data in real-time, issuers can block fraudulent transactions before they are completed, reducing potential losses. This immediacy also enhances customer trust by ensuring legitimate transactions are processed swiftly, while suspicious ones are flagged for further review, thus maintaining a seamless user experience.
How can issuers balance fraud prevention with customer experience?
Issuers can balance fraud prevention with customer experience by implementing advanced fraud detection technologies that minimize false positives, ensuring legitimate transactions are not unnecessarily blocked. Employing adaptive authentication methods, such as biometric verification and behavioral analytics, can enhance security without compromising user convenience. Educating customers about fraud risks and maintaining transparent communication also helps in building trust and improving the overall customer experience while keeping fraud at bay.
What are the key features to look for in a fraud detection solution?
Key features to look for in a fraud detection solution include real-time transaction monitoring, machine learning capabilities, customizable rule-based systems, comprehensive data analytics, and seamless integration with existing systems. The solution should also offer scalability to accommodate growing transaction volumes, user-friendly dashboards for easy monitoring, and robust reporting tools for compliance and auditing purposes. Additionally, a good solution should provide multi-channel support to detect fraud across different payment platforms and devices.