Is Your Payment System Vulnerable to These Fraud Challenges?
Protect your payment system by addressing fraud challenges, safeguarding your revenue and customer trust with proactive solutions.
High Fraud in Real-Time & Cross-Border Payments
Instant clearing leaves no buffer for manual review, so scammers exploit RTP, SEPA, UPI, and FedNow rails before you can intervene—driving direct loss and customer attrition.
Account Takeovers & Synthetic Identities
Fraudsters hijack customer credentials or create fake personas to bypass KYC, move stolen funds, and drain wallets, forcing you to shoulder reimbursement and reputational damage.
Chargebacks, Refund Abuse, and Disputes
Card-not-present fraud, friendly fraud, and promo abuse spike dispute volumes, inflate operating costs, and threaten your chargeback thresholds with card networks.
Fragmented Global Compliance Landscape
Keeping pace with PSD2 SCA, FATF, 5AMLD, and country-specific instant-payment rules demands region-by-region controls and exhaustive audit trails your current tooling can’t deliver.
Combat Fraud Fast: FraudNet's Cutting-Edge Solutions
Protect your payment system with FraudNet, reducing fraud, operational costs, and compliance headaches effortlessly.
Real-Time Transaction Monitoring
Score every payment in <50 ms; auto-block high-risk events.
Dynamic, No-Code Rule Builder
Adjust thresholds instantly without developer tickets.
AI-Native Anomaly Detection
Surface unseen fraud patterns across channels and geos.
Unified Case Management
Consolidate alerts, evidence, and workflow in one hub.
Real-Time, AI-Native Detection
FraudNet rapidly analyzes each transaction, leveraging device, behavioral, and consortium data to intercept fraudulent real-time payments or card activities before funds are transferred. This ensures your company stays secure, protecting both your bottom line and customer trust.
Self-Serve Adaptive Rules
Empower your team with a no-code rule builder that lets analysts swiftly drag-and-drop new conditions, A/B test thresholds, and deploy updates on the fly. Stay ahead of emerging fraud schemes without waiting for engineering, ensuring your defenses are always up-to-date.
Single Pane of Glass Operations
Streamline your operations with a unified console that integrates monitoring, investigations, and compliance reporting. Reduce swivel-chair time and empower your team with full auditability, ensuring you meet regulatory demands and maintain strong relationships with card networks 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 adaptive fraud rules in payment systems?
Adaptive fraud rules in payment systems are dynamic algorithms designed to identify and prevent fraudulent transactions. Unlike static rules, which apply the same criteria to all transactions, adaptive rules continuously learn from new data and adjust their parameters to detect emerging fraud patterns. This allows for more accurate fraud detection by considering a wider variety of contextual factors and evolving tactics used by fraudsters.
How do adaptive fraud rules differ from traditional fraud detection methods?
Traditional fraud detection often relies on static rule sets that do not change frequently, making them less effective against new or evolving fraud tactics. In contrast, adaptive fraud rules use machine learning and artificial intelligence to continuously analyze transaction data, learn from it, and update their detection criteria. This enables them to adapt to new fraud patterns quickly, reducing false positives and improving the detection of sophisticated fraud schemes.
What role does machine learning play in adaptive fraud rules?
Machine learning is a core component of adaptive fraud rules. It allows the system to analyze large volumes of transaction data and identify patterns indicative of fraud. Through continuous learning, machine learning models can update themselves based on new data inputs, improving accuracy over time. This means the system can adapt to new fraud tactics as they emerge, offering a more robust defense against fraudulent transactions.
Why is it important for payment companies to implement adaptive fraud rules?
Implementing adaptive fraud rules is crucial for payment companies because fraudsters are constantly developing new techniques to bypass traditional security measures. Adaptive rules provide a dynamic defense that evolves with the threat landscape, thereby enhancing the company's ability to protect customer data and financial assets. This not only reduces financial losses but also helps maintain customer trust and compliance with regulatory requirements.
How do adaptive fraud rules improve the customer experience?
Adaptive fraud rules improve the customer experience by reducing the number of false positives—legitimate transactions incorrectly flagged as fraudulent. By accurately distinguishing between genuine and fraudulent activities, customers experience fewer disruptions, such as declined transactions. Additionally, the enhanced security provided by these rules helps build customer trust, knowing that their transactions are protected against fraud while maintaining seamless transaction processes.
What are the potential challenges of implementing adaptive fraud rules?
Implementing adaptive fraud rules can present several challenges, including the need for significant data volumes to train machine learning models effectively. Ensuring data quality and completeness is essential for accurate fraud detection. Additionally, integrating these systems with existing payment infrastructure can be complex and require specialized expertise. Balancing fraud detection with user experience, especially in minimizing false positives, is another critical challenge that companies must address.