Are Fragmented Oversight and Manual Processes Leaving Your PSP Vulnerable to Fraud and Revenue Loss?
Streamline oversight, enhance fraud detection, and boost compliance for your PSP with integrated, automated solutions to protect revenue.
Fragmented Merchant Oversight
Disparate data sources make it hard for PSPs to monitor diverse merchant portfolios consistently, delaying detection of emerging fraud patterns and preventing uniform policy enforcement.
Chargeback Exposure
CNP fraud and refund abuse can push chargeback ratios above network thresholds, triggering fines, reserve hikes, and reputational damage for PSPs and their merchants.
Manual KYB Risk Assessments
Onboarding SMB merchants at scale forces PSP teams into slow, manual checks of ownership, sanctions, and business models—introducing revenue delays and missed red flags.
Insufficient Real-Time Risk Visibility
Without a unified, live dashboard, PSPs lack transaction-level insights, struggle to act proactively, and spend too much time firefighting after fraud hits.
Shield Your Business with FraudNet's Advanced Solutions
Enhance fraud prevention and streamline processes, boosting efficiency and security for Payment Service Providers.
Policy Monitoring
Automates rule enforcement to curb chargebacks and refund abuse.
Transaction Monitoring In Milliseconds
Scores every payment in <300ms, blocking fraud before authorization.
KYB Screening
Real-time identity checks streamline onboarding and flag risky merchants.
Risk Tiering & Scoring
Segments merchants by risk so you focus reviews where they matter.
AI-Native Real-Time Detection
FraudNet instantly evaluates each transaction, adapting to emerging threats so you intercept fraud before it impacts your bottom line. This lightning-fast response ensures your operations remain secure, enhancing trust and efficiency while safeguarding your merchants' interests.
Reduced False Positives
Harness adaptive models and global intelligence to ensure seamless transactions for legitimate customers. By reducing false positives, you minimize manual reviews and significantly boost approval rates, allowing your team to focus on strategic priorities while enhancing customer satisfaction and loyalty.
Unified Risk Dashboard
Experience unparalleled efficiency with our unified risk dashboard—consolidating merchant, transaction, and policy insights into one seamless interface. Simplify compliance tasks, minimize administrative burden, and empower your team to focus on strategic initiatives that drive growth and enhance service excellence.
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 real-time fraud detection in payment service providers (PSPs)?
Real-time fraud detection in PSPs refers to the ability to identify and prevent fraudulent transactions as they occur. By using advanced algorithms and machine learning models, the system analyzes transaction data instantaneously to detect anomalies or patterns indicative of fraud. This proactive approach helps minimize financial losses, protect customer accounts, and maintain trust in the payment system.
How does machine learning enhance fraud detection for PSPs?
Machine learning enhances fraud detection by analyzing vast amounts of transaction data to identify patterns and anomalies indicative of fraudulent activity. These models continuously learn from new data, improving their accuracy over time. They can detect subtle changes in behavior that rule-based systems may miss, offering a more adaptive and robust defense against emerging fraud techniques, thus enabling PSPs to protect their customers more effectively.
What are the challenges faced by PSPs in implementing real-time fraud detection?
PSPs face several challenges, including the need for high-speed data processing to minimize transaction delays, maintaining a low false positive rate to avoid disrupting legitimate transactions, and continuously updating detection models to counteract evolving fraud techniques. Additionally, balancing user privacy with effective monitoring and integrating detection systems with existing infrastructure can be complex and resource-intensive.
How do false positives impact real-time fraud detection systems?
False positives occur when legitimate transactions are incorrectly flagged as fraudulent, leading to customer dissatisfaction, increased operational costs, and potential revenue loss for merchants. High false positive rates can erode trust in the payment system and result in customer attrition. Therefore, it is crucial for fraud detection systems to maintain a balance between identifying actual fraud and minimizing false alarms to ensure a positive user experience.
What role does data play in enhancing real-time fraud detection?
Data is crucial for real-time fraud detection as it provides the foundation for identifying patterns and anomalies. Historical transaction data, customer behavior, and external data sources like location or device information are used to train machine learning models. The quality, volume, and diversity of data directly affect the accuracy and reliability of fraud detection systems, enabling them to make informed decisions and adapt to new fraud tactics.
How can PSPs ensure compliance with data privacy regulations while implementing fraud detection systems?
PSPs can ensure compliance by adopting privacy-by-design principles, which involve integrating data protection measures from the outset. This includes anonymizing data where possible, obtaining explicit consent from users, and implementing robust security protocols to protect sensitive information. Regular audits and updates to policies and practices in line with evolving regulations, such as GDPR or CCPA, are essential to maintain compliance and protect user privacy.