Are Fragmented Oversight and Chargeback Exposure Holding Your Business Back?
Streamline oversight and reduce chargeback risks with unified data and real-time insights, protecting your reputation and revenue.
Fragmented Merchant Oversight
PSPs juggle thousands of SMB and mid-market merchants across multiple acquiring banks and gateways. Siloed data makes it hard to see emerging abuse patterns or enforce uniform risk policies, leaving gaps that fraudsters exploit and auditors flag.
Chargeback Exposure
High CNP fraud and refund abuse push merchant-level chargeback ratios above card-network thresholds. Excessive disputes trigger network fines, higher reserve requirements, and reputational damage that can jeopardize critical sponsor-bank relationships.
Manual KYB Risk Assessments
Onboarding queues stall when analysts manually verify ownership, sanctions, and business models. Limited staffing and outdated tools slow revenue activation, while missed red flags invite money-laundering and brand-risk events.
Insufficient Real-Time Risk Visibility
Most PSP dashboards refresh hourly or daily, so analysts chase fraud after losses occur. Without live transaction-level intelligence, teams can’t block coordinated attacks or proactively coach merchants on risky behavior.
Transform Risk Management with FraudNet's Advanced Solutions
Unlock seamless operations and enhanced security for Payment Service Providers with FraudNet's comprehensive solutions.
Policy Monitoring
Enforce chargeback, refund, and decline limits per merchant in real time.
Millisecond Transaction Screening
Score every CNP and CP authorization before approval.
KYB Automation
Layered identity, ownership, and sanctions checks at sign-up.
Risk Tiering & Scoring
Continuously segment merchants into low, medium, and high risk.
AI-Native Real-Time Detection
FraudNet’s lightning-fast scoring evaluates each transaction in milliseconds, automatically adapting to emerging fraud patterns. This proactive approach ensures you block fraudulent activities before they hit the network, safeguarding your merchants and maintaining compliance without the need for constant manual adjustments.
Unified Merchant & Transaction Dashboard
Experience seamless oversight with our unified dashboard that integrates KYB data, live transactions, chargebacks, and policy breaches. Empower your team with instant, detailed insights, eliminating the inefficiency of tab-switching and enabling swift, informed decision-making to enhance your risk management strategies.
Automated Risk Tiering
Leverage historical data and live signals to dynamically score merchants, triggering necessary escalations, holdbacks, or personalized coaching. This ensures your resources are focused where they're most impactful, enhancing oversight and reducing risk across your portfolio. Maximize efficiency and safeguard your operations 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 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 uses machine learning algorithms and pattern recognition to spot anomalies and suspicious activities in real-time. By analyzing transaction history, user behavior, and geolocation data, these systems can effectively flag fraudulent transactions before they are processed.
How can PSPs protect themselves from fraud?
PSPs can protect themselves by implementing robust fraud detection systems, using encryption to secure data, employing multi-factor authentication, and regularly updating their security protocols. Educating customers about potential fraud schemes and maintaining compliance with industry standards such as PCI DSS can also help mitigate risks. Additionally, monitoring transactions in real-time and setting up alerts for unusual activities are crucial preventive measures.
What role does machine learning play in fraud detection?
Machine learning plays a significant role in fraud detection by analyzing vast amounts of data to identify patterns and anomalies that may indicate fraudulent activity. It helps in developing predictive models that can automatically learn and adapt to new fraud tactics, improving the accuracy and efficiency of fraud detection over time. This technology can quickly assess risks and make decisions in real-time, reducing false positives and minimizing potential losses.
How important is customer education in preventing PSP fraud?
Customer education is crucial in preventing PSP fraud as it empowers users to recognize and avoid common scams and phishing attempts. By educating customers about safe online practices, the importance of securing their accounts with strong passwords, and being cautious with sharing personal information, PSPs can reduce the likelihood of fraud. Regular communication about emerging threats and how to respond can further enhance customer vigilance and security.
What are the consequences of failing to address PSP fraud effectively?
Failing to address PSP fraud effectively can lead to significant financial losses, damage to reputation, and loss of customer trust. It may also result in legal penalties and regulatory fines for non-compliance with industry standards. For PSPs, the inability to manage fraud risks can lead to increased operational costs and make them vulnerable to further attacks, ultimately affecting their market competitiveness and long-term sustainability.
How do real-time analytics enhance fraud detection for PSPs?
Real-time analytics enhance fraud detection by providing immediate insights into transaction patterns and user behavior, allowing PSPs to identify and respond to fraudulent activities instantly. By continuously monitoring data streams, real-time analytics tools can flag suspicious transactions, reducing the window of opportunity for fraudsters. This proactive approach not only helps in preventing fraud but also in optimizing the user experience by minimizing false positives and ensuring legitimate transactions are processed swiftly.