Are Fragmented Tools and Manual Workflows Putting Your PSP at Risk?
Streamline operations, enhance fraud detection, and safeguard your PSP from financial and reputational risks with integrated solutions.
Fragmented Merchant Oversight
PSPs juggle thousands of merchants across disconnected tools, making it hard to spot new fraud rings, enforce uniform policies, or prioritize high-risk accounts before losses snowball.
Chargeback Exposure and Network Fines
CNP fraud, first-party abuse, and refund scams can push merchants over card-network thresholds, driving costly penalties, reserve hikes, and damaging the PSP’s sponsor-bank relationships.
Manual, Slow KYB Workflows
Spreadsheet-driven onboarding misses hidden ownership links and sanctions risks, delaying revenue activation and letting bad actors slip through under the radar.
Limited Real-Time Risk Visibility
Without millisecond transaction analytics, PSPs react after the fact—absorbing fraud losses, network chargeback ratios, and brand damage instead of blocking attacks at checkout.
Streamline Risk Management with FraudNet's Advanced Solutions
Streamline merchant management and boost security with FraudNet, minimizing risks for Payment Service Providers.
Unified Risk Dashboard
All merchant, KYB, and transaction data in one live view.
Instant Transaction Screening
Millisecond AI scoring blocks CNP and velocity fraud.
Automated KYB Checks
Layered identity, ownership, and sanctions screening at signup.
Policy & Threshold Alerts
Real-time chargeback, refund, and decline limit monitoring.
Enhanced Merchant Oversight
FraudNet consolidates KYB records, real-time transactions, chargebacks, and policy violations into a single view, empowering Payment Service Providers to quickly identify risky merchants and take proactive measures to prevent financial losses before they become significant issues.
Real-Time Fraud Blocking
Our advanced AI-driven scoring system instantly evaluates each transaction, effectively blocking stolen-card use, bot attacks, and refund abuse at the point of sale. This ensures your genuine customers enjoy a seamless experience, while safeguarding your business from fraudulent activities.
Scalable, Low-Touch Compliance
Streamline your operations with automated workflows that simplify onboarding, risk assessment, and audit management. Reduce manual reviews, speed up merchant activation, and ensure compliance with card-network and regulatory standards, allowing you to focus on growth without the stress of oversight.
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. These systems use advanced algorithms and machine learning to analyze transaction patterns and flag suspicious activities. By continuously updating with new data, they adapt to emerging fraud tactics, providing a robust defense against both traditional and sophisticated fraud schemes.
How can PSPs reduce the risk of major fraud losses?
PSPs can reduce fraud risk by implementing multi-layered security measures, such as two-factor authentication, encryption, and real-time transaction monitoring. Regular staff training and staying updated on the latest fraud trends are also crucial. Additionally, collaborating with other industry stakeholders and employing AI-driven analytics can enhance the detection and prevention of fraudulent activities, minimizing potential losses.
Why is real-time transaction monitoring important in fraud prevention?
Real-time transaction monitoring is vital because it allows PSPs to detect and respond to suspicious activities as they occur. This immediacy helps prevent fraudulent transactions from being processed and reduces the potential financial and reputational damage. By analyzing transaction patterns and behaviors instantly, PSPs can quickly identify anomalies, such as unusual spending patterns or transactions from unexpected locations, and take swift action to mitigate risks.
What role does machine learning play in fraud prevention?
Machine learning plays a crucial role in fraud prevention by automating the detection of unusual patterns and behaviors in transaction data. It continuously learns from new data, improving its ability to predict and identify potential fraud over time. This adaptability helps PSPs stay ahead of evolving fraud tactics, enabling them to respond more effectively to new threats and reduce false positives, which enhances both security and customer experience.
How does customer education contribute to fraud loss prevention?
Customer education is essential in fraud loss prevention as it empowers users to recognize and avoid fraudulent activities. By informing customers about common scams, safe online practices, and the importance of securing personal information, PSPs can reduce the likelihood of fraud. Educated customers are less likely to fall victim to phishing attacks or social engineering tactics, thereby reducing the overall risk of fraud and associated losses.
What are the regulatory requirements for PSPs regarding fraud prevention?
Regulatory requirements for PSPs regarding fraud prevention vary by region but generally include mandates for robust security measures, such as KYC (Know Your Customer) protocols, AML (Anti-Money Laundering) compliance, and data protection standards like GDPR. PSPs must also regularly report suspicious activities and implement fraud detection systems. Adhering to these regulations helps protect consumers, maintain trust, and reduce the risk of significant financial losses due to fraud.