Is Your Payment System Struggling with These Common Challenges?
Identify and resolve key challenges in your payment system to enhance efficiency, security, and compliance for seamless operations.
Fragmented Merchant Oversight
Thousands of merchants, multiple channels, and siloed data make it hard for PSP teams to spot emerging fraud patterns or enforce network rules consistently.
Surging Chargeback Exposure
Unmanaged disputes push chargeback ratios above card-network thresholds, triggering fines, higher reserve requirements, and reputational risk for the PSP.
Manual, Slow KYB Reviews
Onboarding SMEs one file at a time delays go-live, strains compliance staff, and leaves gaps that bad actors exploit through synthetic identities or mule accounts.
Limited Real-Time Risk Visibility
Analysts juggle spreadsheets and legacy dashboards, so high-risk activity often goes unseen until losses or regulator inquiries surface.
Unlock FraudNet's Power: Transform Payment Security Instantly
Enhance Payment Service Providers' efficiency and security with automated fraud detection and streamlined compliance.
Policy Monitoring
Auto-enforce chargeback, refund, and velocity rules in real time.
Transaction Monitoring In Milliseconds
Score every CNP or CP payment before authorization completes.
KYB Screening Automation
Layered identity, ownership, and behavior checks at onboarding.
Risk Tiering & Scoring
Continuously segment merchants by live and historical risk data.
AI-Native Real-Time Detection
FraudNet processes billions of signals in milliseconds, ensuring that fraudulent transactions are blocked while legitimate payments seamlessly proceed. This minimizes fraud losses and enhances customer experience, giving Payment Service Providers a powerful tool to maintain security without disrupting business operations.
Unified Risk Command Center
Gain unparalleled oversight with a single, intuitive dashboard that consolidates merchant, transaction, and policy alerts. Simplify investigations, enhance team collaboration, and streamline reporting—empowering your Payment Service Provider team to act swiftly and decisively in managing fraud and compliance across all channels.
Adaptive Models With Low False Positives
Experience the power of self-learning models that dynamically adjust risk scores as patterns evolve. This innovation drastically reduces manual reviews, ensuring your revenue stays intact while maintaining top-notch security, tailored specifically for Payment Service Providers to prevent fraud efficiently.
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 PSP AI fraud automation?
PSP AI fraud automation refers to the use of artificial intelligence and machine learning technologies by Payment Service Providers to detect, prevent, and manage fraudulent activities in payment transactions. This system analyzes transaction patterns, user behaviors, and other data points to identify potential fraud in real-time, thereby reducing chargebacks and enhancing the security of transactions.
How does AI improve fraud detection?
AI improves fraud detection by leveraging machine learning algorithms to analyze vast amounts of transaction data quickly and accurately. It identifies patterns and anomalies that may indicate fraudulent activities, allowing for real-time decision-making. Additionally, AI can adapt to new fraud tactics by continuously learning from new data, leading to more effective and dynamic fraud prevention strategies.
What types of payment fraud can AI detect?
AI can detect various types of payment fraud, including credit card fraud, account takeovers, phishing attacks, identity theft, and transaction laundering. By analyzing transaction patterns, behavioral biometrics, and device fingerprints, AI systems can spot irregularities that may suggest fraudulent activity, helping to prevent unauthorized transactions and safeguard customer accounts.
How does AI-based fraud detection work in real-time?
AI-based fraud detection works in real-time by continuously monitoring transactions and analyzing them against established patterns and rules. When a transaction deviates from the norm, the system flags it for further review or automatically blocks it. This process involves machine learning models that are trained to recognize both known fraud methods and new, emerging threats, enabling immediate response to potential fraud incidents.
What are the benefits of using AI in fraud prevention for PSPs?
The benefits of using AI in fraud prevention for PSPs include enhanced accuracy in detecting fraudulent transactions, reduced false positives, faster response times, and the ability to scale with transaction volume. AI systems can continuously learn and adapt to new fraud patterns, improving over time. This leads to cost savings by reducing chargebacks and fraud losses while maintaining a seamless customer experience.
What challenges do PSPs face when implementing AI fraud solutions?
PSPs face several challenges when implementing AI fraud solutions, including the need for high-quality data to train machine learning models, integration with existing systems, and potential privacy issues related to data usage. Additionally, balancing detection accuracy with customer convenience is crucial to avoid false positives that can hinder legitimate transactions. Continuous monitoring and updating of AI models are also necessary to keep pace with evolving fraud tactics.