Is Your Current System Leaving You Vulnerable to Merchant Risks?
Protect your business from fraud, fines, and lost trust by addressing merchant risks with proactive monitoring and tailored solutions.
Unmanaged Merchant Risk
Without continuous oversight, high-risk merchants slip through processor controls, leading to excessive fraud, regulatory penalties, and lost sponsor-bank confidence.
Manual Monitoring Processes
Teams still juggle Excel sheets and legacy reports to track refunds, velocity, and chargebacks—adding labor cost, delaying responses, and creating data blind spots.
Chargebacks & Threshold Violations
Processors face network fines or termination when merchants exceed chargeback, refund, or fraud thresholds unnoticed for days or weeks.
High False Positives
Static, one-size rules wrongly flag legitimate merchants, freezing funds and straining processor–merchant relationships while inflating review workloads.
Transform Merchant Risk with FraudNet's Innovative Solutions
FraudNet protects payment processors from merchant risks, reducing fraud, compliance issues, and manual workload.
Policy Monitoring Engine
Enforces live merchant limits and auto-acts on breaches.
Anomaly Detection Models
Learns patterns, flags outliers early, curbing hidden fraud.
Merchant Threshold Customization
Sets tailored limits, cutting false positives instantly.
Unified Case Dashboard
Centralizes alerts, speeding triage to closure.
Real-Time Policy Enforcement
FraudNet acts instantly, halting risky transactions at authorization and auto-pausing terminals. Your team receives immediate alerts, preventing network fines and safeguarding revenue. Keep your operations seamless and secure with real-time protection that preserves both trust and profitability.
Advanced Anomaly Detection
Discover unmatched fraud protection with our AI-native models. They adapt to each merchant's unique behavior, swiftly identifying emerging fraud patterns that traditional methods overlook, all while ensuring legitimate transactions continue seamlessly. Elevate your processing reliability without compromising on transaction volume.
Integrated Case Management
Streamline your operations with a unified dashboard that centralizes alerts, evidence, and workflows. Empower your team to swiftly resolve issues, meticulously document actions for audits, and significantly reduce investigation costs, enhancing overall efficiency and maintaining compliance 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
How does AI fraud detection work in payment processing?
AI fraud detection in payment processing utilizes machine learning algorithms to analyze transaction data in real-time. It identifies patterns and anomalies that are indicative of fraudulent activity. The system is trained on historical data to recognize legitimate and suspicious behavior, allowing it to flag potentially fraudulent transactions for further review. This process involves the continuous learning and adaptation of the AI model to keep up with evolving fraud tactics.
What types of payment fraud can detection software identify?
Detection software can identify various types of payment fraud, including credit card fraud, account takeover, phishing attacks, identity theft, and transaction laundering. It can also detect unusual spending patterns, location mismatches, and rapid successive transactions. By analyzing these patterns, AI systems can effectively pinpoint and mitigate fraud risks, helping to protect both businesses and consumers from financial losses and data breaches.
How can AI in fraud detection benefit payment processors?
AI in fraud detection benefits payment processors by increasing the accuracy and speed of identifying fraudulent activities, reducing false positives, and minimizing chargebacks. This technology enhances customer trust and satisfaction by ensuring secure transactions. Furthermore, AI systems can handle large volumes of transactions efficiently, allowing payment processors to scale operations without sacrificing security. Over time, AI models become more effective as they learn from new data, continuously improving fraud prevention capabilities.
Are there any challenges associated with implementing AI fraud detection?
Implementing AI fraud detection does come with challenges, including the need for substantial data to train models effectively. Payment processors must ensure data quality and privacy while complying with regulations like GDPR. There is also the challenge of balancing between reducing fraud and maintaining a seamless user experience, as overly aggressive detection can lead to false positives. Additionally, AI systems require ongoing updates and monitoring to adapt to new fraud tactics and maintain effectiveness.
How do payment processors ensure compliance with regulations when using AI for fraud detection?
Payment processors ensure compliance with regulations by implementing AI systems that adhere to data protection laws such as GDPR and PCI DSS. They establish strong data governance practices, including data encryption, access controls, and regular audits. Processors also maintain transparency with customers about data use and obtain necessary consents. By collaborating with legal teams and staying informed about regulatory changes, processors can adjust their AI systems accordingly to maintain compliance and protect user data.
What is the future of AI in payment fraud detection?
The future of AI in payment fraud detection lies in enhancing predictive analytics, real-time monitoring, and adaptive learning capabilities. As AI technologies evolve, they are expected to integrate more advanced techniques like deep learning and natural language processing to better understand complex fraud patterns. The use of AI will likely expand to include biometric authentication and blockchain technology for more secure transactions. This continuous innovation aims to stay ahead of increasingly sophisticated fraud tactics, ensuring robust protection for the payment ecosystem.