Is Your Merchant Oversight Fragmented and Vulnerable to Fraud?
Enhance oversight efficiency and security by consolidating data, speeding up KYB reviews, and gaining real-time fraud insights.
Fragmented Merchant Oversight
Managing thousands of SMBs across multiple acquirers leaves data siloed, hiding cross-merchant abuse patterns and complicating uniform risk policy enforcement.
Slow, Manual KYB Reviews
Spreadsheet-driven onboarding stalls merchant activation and increases the odds of approving shell companies, high-risk verticals, or sanctioned entities.
Limited Real-Time Visibility
Dashboards that refresh hourly let fraudsters exploit minutes-long blind spots, driving up unauthorized volume before alarms sound.
Chargeback Exposure & Scheme Fines
Surging fraud-driven disputes trigger network penalties, higher reserves, and strained sponsor-bank relationships that threaten processing contracts.
Transform Merchant Risk with FraudNet Solutions
Enhance fraud defense and streamline oversight with FraudNet’s real-time risk management for payment processors.
Unified Risk Dashboard
Live, end-to-end merchant and transaction view.
AI-Native KYB Automation
Instant, multi-layer business identity checks.
Millisecond Transaction Scoring
Approve or block in real time at auth.
Policy & Chargeback Guardrails
Auto-enforce per-merchant thresholds.
Real-Time Detection at Scale
FraudNet swiftly evaluates every card-not-present and card-present transaction in under 300 milliseconds, effectively blocking fraudulent activities without disrupting customer experiences. Enhance your processing efficiency and security, ensuring seamless transactions while maintaining robust fraud protection for your clients.
Configurable Rule & ML Blend
Integrate your existing policies with FraudNet’s adaptive models to significantly reduce false positives and detect emerging fraud schemes early. Tailor your fraud prevention approach for maximum efficiency, ensuring swift identification and mitigation of risks to protect your processing operations.
End-to-End Case Management
Streamline your operations with a unified console that consolidates alerts, evidence, and chargebacks. This integration drastically reduces investigation time, enhances audit preparedness, and strengthens your ability to manage fraud effectively, ensuring smoother processes and improved compliance for payment processors.
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 are the common signs of payment processor fraud?
Common signs of payment processor fraud include an increase in chargebacks, unauthorized transactions, discrepancies in account statements, unusual transaction patterns, and customer complaints about unrecognized charges. Additionally, sudden changes in account activity, such as a spike in transaction volume or transactions originating from unfamiliar locations, can also indicate fraudulent activity. Payment processors should monitor these indicators closely to detect and mitigate fraud effectively.
How can payment processors mitigate major fraud losses?
Payment processors can mitigate major fraud losses by implementing robust security measures such as multi-factor authentication, encryption, and fraud detection algorithms. Regularly updating software and systems, monitoring transactions in real-time, and setting up alerts for suspicious activities are also critical. Additionally, educating merchants and customers about best practices for security and working closely with law enforcement and cybersecurity experts can further strengthen defenses against fraud.
What role does machine learning play in detecting payment processor fraud?
Machine learning plays a crucial role in detecting payment processor fraud by analyzing vast amounts of transaction data to identify patterns and anomalies that may indicate fraudulent activity. These algorithms can learn from historical data to predict and identify potential fraud in real-time, allowing for quicker responses. Machine learning models can adapt to new fraud techniques over time, making them a vital tool in the continuous battle against evolving fraud tactics.
How does a major fraud loss impact a payment processor?
A major fraud loss can have significant financial implications for a payment processor, including direct financial losses and increased insurance premiums. It can also damage the processor's reputation, leading to a loss of trust among customers and partners. Regulatory scrutiny and legal liabilities may increase, and resources may be diverted to address and rectify the breach. Overall, it can result in long-term operational and financial challenges for the company.
What regulatory measures are in place to prevent payment processor fraud?
Regulatory measures to prevent payment processor fraud include compliance with standards like the Payment Card Industry Data Security Standard (PCI DSS), which outlines security protocols for handling cardholder information. Regulators may also enforce anti-money laundering (AML) requirements and know your customer (KYC) policies to ensure proper verification of transaction legitimacy. Regular audits and reporting obligations help maintain transparency and accountability, reducing the risk of fraud and ensuring processors adhere to best practices.
Why is it essential for payment processors to collaborate with banks and other financial institutions?
Collaboration with banks and financial institutions is essential for payment processors to effectively combat fraud. By sharing information and resources, they can identify and respond to fraudulent activities more swiftly. This partnership enhances transaction monitoring, facilitates the exchange of intelligence on emerging fraud trends, and improves the overall security infrastructure. Such collaboration also helps in developing industry-wide standards and practices, thereby creating a more secure payment ecosystem for all stakeholders.