Are Unmanaged Risks and Inefficient Processes Costing You More Than You Realize?
Safeguard profits and streamline operations by addressing merchant risks and reducing inefficiencies in your payment processing.
Unmanaged Merchant Risk
Irregular monitoring lets high-risk merchants slip through, exposing processors to losses, fines, and network penalties.
Manual Monitoring Processes
Spreadsheets and legacy tools force analysts into time-consuming checks, delaying response and inflating headcount costs.
Chargebacks and Threshold Violations
Undetected spikes in returns or declines trigger card-network penalties, damage sponsor-bank relations, and erode margins.
High False Positives
Rigid rule sets flag healthy merchants, creating needless friction, lost volume, and costly appeals for your team.
Optimize Merchant Security with FraudNet's Advanced Solutions
Boost efficiency and protect profits with FraudNet's intelligent monitoring and customizable fraud prevention tools.
Policy Monitoring Engine
Enforces live merchant rules to stop breaches before fines hit.
Anomaly Detection Models
Learns patterns, flags anomalies missed by rules, cuts undetected fraud.
Merchant-Level Threshold Customization
Tailors limits per merchant, reducing false positives while preserving volume.
Unified Case Management Dashboard
One workspace tracks alerts to resolution with full audit trails.
Real-Time Fraud Detection
Experience unparalleled security with FraudNet's lightning-fast transaction scoring. Detect and block suspicious activities in milliseconds, safeguarding your revenue before authorization. Enhance your processing efficiency and ensure maximum protection for your interchange revenue with our cutting-edge fraud prevention technology.
Streamlined Case Management
Our integrated dashboard consolidates alerts, evidence, and workflows, slashing investigation times and reducing operational costs. Streamline your fraud team's processes to enhance efficiency, ensuring quick responses and maintaining seamless payment operations. Protect your bottom line with effective, unified case management.
Adaptive Fraud Policies
Instantly adjust fraud thresholds with low-code rules, empowering your team to swiftly tackle emerging threats. Reduce false positives and streamline operations without waiting on IT, ensuring smoother transactions and optimized merchant relationships for your payment processing business.
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 utilize machine learning and behavioral analytics to spot unusual patterns or anomalies in transaction data that may indicate fraudulent activity. By continuously learning from new data, the software can adapt to emerging fraud tactics and enhance its detection capabilities over time.
How does automated fraud triage work in payment processing?
Automated fraud triage uses algorithms and machine learning models to analyze transaction data in real-time. It assesses the risk of each transaction by comparing it against historical data, user behavior, and known fraud patterns. Transactions are scored based on their risk level, allowing the system to automatically flag, approve, or decline them. This approach helps in efficiently managing large volumes of transactions while minimizing false positives and ensuring legitimate transactions are processed smoothly.
What are the benefits of using automated fraud triage?
Automated fraud triage offers several benefits, including improved accuracy in detecting fraudulent activities, faster response times, and reduced manual intervention, which cuts down operational costs. By leveraging advanced technologies like AI and machine learning, these systems can process vast amounts of data quickly and adapt to new fraud tactics. This leads to a more secure payment environment, enhances customer trust, and reduces the financial impact of fraud on businesses.
Can automated fraud triage reduce false positives?
Yes, automated fraud triage is designed to reduce false positives significantly. By using sophisticated algorithms and machine learning models, the system can differentiate between legitimate and suspicious activities more accurately than traditional methods. This helps in minimizing the number of genuine transactions that are mistakenly flagged as fraudulent, thereby improving the customer experience and maintaining smooth transaction flows without unnecessary interruptions.
What role does machine learning play in fraud detection?
Machine learning plays a crucial role in fraud detection by enabling systems to learn from historical data and adapt to new and evolving fraud patterns. It helps in identifying complex relationships and subtle anomalies that may indicate fraudulent activities. Machine learning models can process and analyze large datasets in real-time, providing insights and predictive analytics that enhance the accuracy and efficiency of fraud detection systems, ultimately leading to better prevention and mitigation strategies.
How can payment processors ensure the effectiveness of their fraud detection systems?
Payment processors can ensure the effectiveness of their fraud detection systems by regularly updating their algorithms and models with the latest fraud trends and patterns. They should invest in robust data analytics and machine learning technologies to enhance detection capabilities. Continuous monitoring and evaluation of system performance, along with feedback loops for learning from false positives and negatives, are essential. Collaboration with industry peers and sharing threat intelligence can also bolster defenses against fraud attempts.