Are You Struggling with These Payment Processing Challenges?
Streamline operations, enhance fraud detection, and improve compliance, all while reducing costs and strengthening merchant relationships.
Excessive False Positives
Static rule sets flag too many legitimate transactions, flooding analysts with low-value alerts, delaying approvals, and straining merchant relationships at scale.
Fragmented Monitoring Tools
Separate systems for card-present, CNP, and ACH traffic create data silos, letting cross-channel fraud slip through and forcing teams to reconcile reports manually.
Labor-Intensive Investigations
Analysts juggle spreadsheets, screenshots, and email threads to resolve cases, prolonging decision times, inflating payroll costs, and eroding PSP profit margins.
Complex Global Compliance
Keeping pace with evolving AML, PCI-DSS, and regional mandates requires continual rule updates and documentation, exposing PSPs to audit risk and penalties.
Transform Fraud Defense with FraudNet's Advanced Solutions
Streamline operations, reduce costs, and strengthen security with FraudNet’s comprehensive solutions for Payment Service Providers.
AI-Native Transaction Scoring
Cuts false positives via millisecond, adaptive risk scoring.
Unified Cross-Channel View
Consolidates all payment data into one dashboard for 360° oversight.
Smart Case Automation
Routes, enriches, and resolves alerts with guided workflows.
Embedded Compliance Rules
Auto-updates AML, PCI, PSD2 rules and produces audit-ready trails.
Real-Time Fraud Defense
FraudNet’s AI-driven engine evaluates each transaction in under 300 milliseconds, effectively blocking new fraud threats while ensuring legitimate payments proceed smoothly. Enhance your merchant relationships and streamline operations without adding unnecessary complexity or delays to your payment processes.
End-to-End Case Management
Streamline your payment operations with our unified console that centralizes alerts, evidence, and analyst actions. Experience faster resolutions, maintain clear audit trails, and reduce investigation costs by up to 40%, empowering your team to focus on growth and customer satisfaction.
Seamless Regulatory Alignment
Stay effortlessly compliant with AML, PCI-DSS, and PSD2 through continuous rule updates and automated reporting. This streamlined approach significantly reduces audit preparation time and minimizes the risk of penalties, ensuring your operations run smoothly and securely at all times.
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
View More
FAQs
What is PSP fraud alert fatigue?
PSP fraud alert fatigue occurs when individuals responsible for monitoring payment service provider (PSP) fraud alerts become desensitized or overwhelmed due to the high volume of alerts. This can lead to decreased attention, slower response times, and potentially missing genuine cases of fraud. As alerts increase, the challenge lies in maintaining vigilance and discerning between legitimate threats and false positives, which can compromise the effectiveness of fraud detection systems.
What causes fraud alert fatigue in PSPs?
Fraud alert fatigue in PSPs is primarily caused by an overwhelming number of alerts, many of which are false positives. This can result from overly sensitive detection systems that generate alarms for benign transactions. Additionally, the lack of prioritization or context in alerts can make it difficult for teams to identify which alerts require immediate attention. Over time, this constant barrage of warnings can lead to desensitization and reduced effectiveness in fraud detection and response.
How can PSPs mitigate fraud alert fatigue?
PSPs can mitigate fraud alert fatigue by implementing more advanced analytics and machine learning algorithms that reduce false positives and prioritize alerts based on risk levels. Regularly updating and tuning detection systems to adapt to new fraud patterns is crucial. Providing adequate training and resources for fraud analysts can also help them manage alerts more efficiently. Additionally, improving communication and collaboration between departments can streamline the response process, ensuring that critical alerts are addressed promptly.
What are the consequences of fraud alert fatigue for PSPs?
The consequences of fraud alert fatigue for PSPs include increased vulnerability to fraudulent activities due to missed genuine alerts. It can lead to financial losses, reputational damage, and strained relationships with customers who may lose trust in the provider's ability to secure transactions. Furthermore, staff burnout and decreased morale can result from the constant pressure and high alert volumes, ultimately affecting the efficiency and effectiveness of fraud prevention teams.
How does machine learning help reduce fraud alert fatigue?
Machine learning helps reduce fraud alert fatigue by analyzing large volumes of transaction data to identify patterns and anomalies indicative of fraud. It can significantly decrease the number of false positives by learning from past decisions and continuously improving its accuracy in distinguishing between legitimate and suspicious activities. By prioritizing alerts based on risk, machine learning enables fraud analysts to focus on the most critical threats, thereby enhancing the efficiency of fraud detection and reducing alert fatigue.
What role does user behavior analysis play in combating fraud alert fatigue?
User behavior analysis plays a crucial role in combating fraud alert fatigue by establishing baseline patterns for normal user activities. By monitoring deviations from these patterns, PSPs can more accurately identify potential fraud while reducing false positives. This approach allows for more targeted alerts, focusing on genuinely suspicious activities. Consequently, fraud analysts can prioritize their efforts on high-risk alerts, improving detection accuracy and reducing the overall volume of alerts, thereby alleviating fatigue.