Is Your Payment System Vulnerable to These Critical Challenges?
Identify and mitigate risks in real-time to protect profits, enhance trust, and ensure seamless transactions for your business.
High Fraud Rates in Real-Time Payments
Instant rails like FedNow and UPI leave no time for manual review, exposing payment companies to scams that settle irrevocably and drain margins.
Account Takeovers & Synthetic Identities
Fraudsters hijack customer logins or create fake personas, bypassing legacy KYC checks and triggering downstream losses on cards, wallets, and ACH flows.
Chargebacks & Payment Disputes
Card-not-present fraud, first-party abuse, and promotion stacking inflate refund volume, raise dispute fees, and jeopardize acquirer relationships.
Regulatory Fragmentation
Navigating PSD2, FATF, 5AMLD, and NACHA rules strains teams, forcing region-specific controls that slow onboarding and invite costly fines.
FraudNet Solutions: Combat Fraud with Precision and Speed
Optimize security and compliance, reduce fraud losses, and enhance customer trust with FraudNet's advanced solutions.
Real-Time Transaction Monitoring
Score every payment in ms and auto-block suspicious traffic.
Entity Screening
Continuously vet merchants and payees against AML and sanction lists.
AI & ML Risk Decisioning
Adaptive models cut false positives and learn new fraud tactics.
Case Management System
One workspace triages alerts, tracks evidence, and speeds audits.
AI-Native, Millisecond Detection
FraudNet's AI-powered technology instantly evaluates every transaction, halting threats before they disrupt your cash flow. By maintaining seamless payment speeds, we ensure your operations remain smooth, allowing you to focus on growth without compromising security or efficiency.
Unified Compliance & Fraud Workspace
Streamline your operations with our unified dashboard that consolidates risk scores, sanctions alerts, and investigation tasks. Say goodbye to inefficient toggling between systems and enhance your team's productivity, ensuring seamless compliance and fraud management tailored for payment companies.
Lower False Positives, Higher ROI
Unlock the power of precision scoring to confidently approve more legitimate transactions, significantly reduce the need for manual reviews, and recover revenue previously lost to overly cautious blanket declines. Enhance your payment flow efficiency and boost your bottom line effortlessly.
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 are common signs of inefficiency in a payment company's fraud management system?
Common signs of inefficiency include high false positive rates, slow response times, manual intervention requirements, increased chargeback rates, customer complaints about transaction declines, and a lack of integration with other systems. Inefficiencies can also be indicated by the system's inability to adapt to new fraud patterns or emerging threats quickly. These signs can lead to increased operational costs and poor customer experiences, making it crucial to address inefficiencies promptly.
Why do high false positive rates indicate inefficiency in fraud management?
High false positive rates suggest that the fraud detection system is overly sensitive, flagging legitimate transactions as fraudulent. This not only frustrates customers, leading to a poor user experience but also increases operational costs due to the need for additional manual reviews. Additionally, high false positive rates can result in lost revenue opportunities, as legitimate transactions may be declined unnecessarily. Efficient fraud management systems strive to minimize false positives while accurately identifying fraudulent activities.
How can payment companies improve fraud detection accuracy?
Payment companies can enhance fraud detection accuracy by employing machine learning algorithms that continuously learn from new data, integrating real-time transaction monitoring, and utilizing multi-layered authentication processes. Regularly updating fraud detection models to recognize emerging fraud patterns and collaborating with industry peers for shared insights can also improve accuracy. Additionally, leveraging customer behavior analytics and feedback can help refine detection parameters, ensuring a more precise and adaptive approach to fraud management.
What role does data quality play in fraud management efficiency?
Data quality is crucial for effective fraud management. High-quality, accurate, and up-to-date data enables fraud detection systems to make informed decisions, reducing false positives and negatives. Poor data quality can lead to incorrect assessments, missed fraud attempts, and increased operational costs due to unnecessary manual reviews. Ensuring data integrity, consistency, and completeness allows for more reliable models and analytical tools, ultimately enhancing the overall efficiency and effectiveness of fraud management efforts.
How does manual intervention impact fraud management efficiency?
Manual intervention can significantly impact fraud management efficiency by increasing response times and operational costs. While human oversight is valuable for complex cases, excessive manual review indicates inefficiencies in automated systems. It can slow down transaction processing, leading to customer dissatisfaction and potential revenue loss. Effective fraud management systems aim to minimize manual intervention by employing advanced algorithms and real-time data analysis, allowing staff to focus on high-risk cases that require human judgment.
What strategies can payment companies implement to reduce fraud management inefficiencies?
Payment companies can reduce inefficiencies by adopting advanced technologies such as AI and machine learning for predictive analytics, automating routine tasks, and integrating fraud management systems with other business operations. Regularly updating detection models to address new threats, providing staff with training on emerging fraud trends, and fostering a culture of continuous improvement are also crucial. Collaborating with industry peers for threat intelligence sharing can enhance overall fraud prevention strategies and reduce inefficiencies.