Are Unmanaged Risks, Manual Monitoring, and High False Positives Threatening Your Merchant Portfolio?
Streamline risk management, enhance fraud detection, and maintain compliance to safeguard revenue and improve merchant satisfaction.
Unmanaged Merchant Risk
Irregular portfolio checks let bad actors run excess chargebacks, refunds, and velocity abuse, exposing processors to fines, loss write-offs, and brand damage.
Manual Monitoring Processes
Spreadsheet workflows, siloed data, and ad-hoc scripts slow analysts, raise labor costs, and leave gaps that sophisticated fraud rings quickly exploit.
High False Positives
Rigid, one-size-fits-all rules flag healthy merchants, freeze payouts, and spark service complaints that strain operations and hurt processor revenue.
Scalability Challenges
Surging transaction volume and rapid merchant onboarding outpace legacy tools, making it hard to maintain SLAs and regulatory compliance.
Transform Merchant Risk with FraudNet's Smart Solutions
FraudNet streamlines risk management, enhancing detection accuracy and operational efficiency for payment processors.
Policy Monitoring Engine
Real-time rules enforce merchant limits and auto-block risky activity.
Anomaly Detection Models
AI models surface new fraud patterns beyond static thresholds.
Unified Case Dashboard
Single workspace speeds alert triage, evidence gathering, resolution.
Low-Code Data Orchestration
Integrates processor data with 3rd-party signals for holistic scoring.
AI-Native Real-Time Detection
FraudNet instantly evaluates every transaction, identifying chargebacks, refunds, and velocity abuse before they occur. This proactive approach ensures your payment processing remains seamless, reducing financial risk and safeguarding your reputation while boosting customer trust and operational efficiency.
Automated Operational Efficiency
Transform your operations with self-learning models and automated workflows that drastically reduce manual reviews and clear investigation queues. Empower your team to focus on strategic analysis, enhancing efficiency and allowing you to stay ahead in the fast-paced payment processing landscape.
Scalable, Cloud-First Architecture
Our scalable, cloud-first architecture ensures seamless handling of peak transaction volumes and rapid merchant onboarding. Effortlessly manage growth without additional infrastructure investments or performance hiccups, maintaining service levels and compliance as your portfolio expands. Perfect for processors aiming for efficiency and reliability.
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
Speak with our Solutions Expert Today
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Recognized by Industry Analysts
Related Resources
Other Services
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, among others. These systems use advanced algorithms and machine learning to analyze transaction patterns, user behavior, and other data points to detect and flag suspicious activities in real-time, helping payment processors mitigate risks and protect both merchants and consumers.
How does machine learning enhance fraud detection in payment processing?
Machine learning enhances fraud detection by utilizing data-driven algorithms to learn from historical transaction data and identify patterns indicative of fraudulent behavior. It continuously adapts to new threats without explicit programming, allowing payment processors to detect emerging fraud tactics. By analyzing vast amounts of data in real-time, machine learning models can accurately predict and flag suspicious transactions, reducing false positives and improving overall fraud prevention efficiency.
What role does multi-factor authentication play in payment fraud prevention?
Multi-factor authentication adds an extra layer of security by requiring users to provide two or more verification factors to access their accounts or complete transactions. This reduces the risk of unauthorized access, as even if one factor (like a password) is compromised, additional factors (such as a one-time code sent to a mobile device) are needed, making it significantly harder for fraudsters to succeed. This approach is crucial for preventing account takeovers and ensuring transaction security.
How important is real-time transaction monitoring for fraud prevention?
Real-time transaction monitoring is critical for effective fraud prevention as it allows payment processors to detect and respond to suspicious activities as they occur. By continuously analyzing transaction data and user behavior, these systems can quickly identify anomalies and potential fraud, enabling immediate action to block or hold transactions before they are completed. This proactive approach minimizes potential losses and protects both merchants and consumers from fraud-related consequences.
What are the benefits of using cloud-based fraud prevention solutions?
Cloud-based fraud prevention solutions offer several advantages, including scalability, flexibility, and accessibility. They allow payment processors to easily scale their fraud detection capabilities to handle varying transaction volumes without significant infrastructure investments. Additionally, cloud solutions provide real-time updates and improvements, ensuring that the latest security measures are in place. They also facilitate seamless integration with existing systems and enable remote access, allowing for efficient and effective fraud management.
How can payment processors balance fraud prevention with user experience?
Payment processors can balance fraud prevention with user experience by implementing adaptive authentication methods and intelligent risk assessment models. By using machine learning and behavioral analytics, they can adjust the level of security based on the risk associated with each transaction, ensuring that genuine users face minimal friction. Additionally, providing clear communication and user-friendly interfaces helps maintain trust and satisfaction, while sophisticated fraud detection ensures security without compromising the user experience.