Is Your Payment System Struggling with High Fraud Rates and Compliance Challenges?
Protect your revenue and streamline compliance by addressing fraud and regulatory challenges with precision and efficiency.
High Fraud Rates in RTP & Cross-Border Flows
Payment companies must clear transactions instantly, leaving no buffer for manual review and exposing them to authorized push payment scams, mule activity, and sophisticated cross-border fraud rings.
Account Takeovers & Synthetic Identities
Traditional KYC signals are no longer enough; fraudsters hijack wallets or build fake profiles to move funds through payment rail APIs, driving losses and eroding customer trust.
Costly Chargebacks & Payment Disputes
Card-not-present fraud, promo abuse, and refund scams trigger rising dispute volumes, forcing payment companies to absorb network fees, lost revenue, and labor-intensive investigation costs.
Fragmented Global Compliance
Each corridor—PSD2 in the EU, FedNow in the U.S., UPI in India—demands unique screening rules. Maintaining regional workflows and audit trails strains tech stacks and legal teams.
FraudNet Solutions: Combat Fraud with Advanced Precision
Enhance payment security and streamline compliance, minimizing fraud risks and operational burdens for payment companies.
Real-Time Transaction Monitoring
Score every payment in <100 ms, block high-risk RTP instantly.
Entity & Device Intelligence
Correlate IDs, devices, and behavior to spot ATO & synthetic users.
Automated Chargeback Defense
Pre-authorize evidence packets, cut dispute win-rates at the source.
Dynamic Compliance Orchestration
Auto-apply corridor-specific AML/KYC rules with full audit logs.
AI-Native Risk Scoring in Milliseconds
Leverage FraudNet's advanced AI to analyze thousands of real-time signals per transaction. Our adaptive scoring system halts fraud instantly, ensuring transactions are secure before funds exit your ecosystem. Protect your revenue and maintain customer trust with precision fraud prevention.
Unified Fraud, AML, and Case Management
Streamline your operations with a unified console that empowers your team to efficiently manage alerts, collaborate on evidence, and meet regulatory reporting requirements. Eliminate the hassle of juggling multiple systems and enhance your fraud prevention strategy with seamless integration.
Industry-Leading False-Positive Reduction
Boost your bottom line by reducing false declines by up to 80%. Our advanced models ensure seamless transactions, preserving interchange revenue and enhancing customer satisfaction. Keep legitimate transactions flowing smoothly, and maintain your reputation as a trusted payment provider.
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 AI risk scoring in payment companies?
AI risk scoring in payment companies refers to the use of artificial intelligence to analyze and evaluate the risk associated with financial transactions. By assessing factors such as transaction history, user behavior, and device information, AI models can generate a risk score indicating the likelihood of fraudulent activity.
How does AI improve risk assessment in payment processing?
AI improves risk assessment by leveraging machine learning algorithms to analyze vast amounts of data in real-time. This allows for more accurate detection of fraudulent patterns and unusual activities, leading to reduced false positives and quicker identification of genuine threats.
What data is typically used in AI risk scoring models?
AI risk scoring models typically use a variety of data points, including transaction history, user behavior data, geolocation, device information, IP address, and account activity patterns. These data sources help in creating a comprehensive risk profile for each transaction.
How do payment companies ensure the accuracy of AI risk scoring?
Payment companies ensure accuracy by continuously training and updating their AI models with new data and scenarios. They also use techniques like cross-validation, regular audits, and feedback loops from fraud analysts to refine and enhance the model's performance.
What are the benefits of using AI in payment risk scoring?
The benefits of using AI in payment risk scoring include faster and more accurate fraud detection, reduced operational costs, improved customer experience by minimizing false declines, and the ability to handle large volumes of transactions efficiently.
What are the challenges associated with AI risk scoring in payments?
Challenges include ensuring data privacy and security, maintaining model transparency and explainability, the risk of algorithmic bias, adapting to evolving fraud tactics, and the need for continuous model updates and maintenance to stay effective.