Visualizing Fraud Trends for Payment Service Providers

Gain instant fraud insights, reduce chargebacks, and streamline onboarding with real-time risk visibility for your PSP operations.

Are You Struggling with These Payment Processing Challenges?

Gain control over fraud, reduce chargebacks, and streamline merchant onboarding with our comprehensive risk management solutions for PSPs.

Fragmented Merchant Oversight

Managing thousands of fast-growing merchants across multiple MCCs leaves PSP risk teams with siloed data and blind spots, allowing fraud spikes to go unnoticed until acquirers or card networks raise alarms.

Chargeback Exposure

High CNP volumes push many sub-merchants over card-network thresholds. Without early warning, PSPs face fines, higher reserve requirements, and reputation damage with issuers and schemes.

Manual KYB Risk Assessments

Spreadsheet-driven onboarding struggles to verify ownership, sanctions, and prior fraud history at scale, letting bad actors slip through and quickly monetize stolen cards.

Insufficient Real-Time Risk Visibility

Disparate reporting tools delay pattern recognition across transactions, refunds, and declines, limiting a PSP’s ability to intervene before losses escalate.

Enhance Merchant Security with FraudNet's Advanced Solutions

Fraudnet empowers Payment Service Providers to swiftly mitigate risks, ensuring seamless and secure transactions.

Policy Monitoring

Live rules track chargebacks, refunds, and declines per merchant.

Transaction Monitoring in Milliseconds

Instant CNP and CP scoring flags anomalous authorizations.

KYB Screening

Layered identity, ownership, and behavior checks at signup.

Risk Tiering & Scoring

Auto-segments merchants by historical and live risk data.

Key Capabilities For Payment Service Providers

Unified Fraud Trend Dashboard

Instantly visualize chargeback, refund, and decline trends across your entire portfolio. Our real-time dashboard lets you drill down from the PSP level to individual MIDs, enabling swift root-cause analysis and empowering you to take decisive action against emerging threats.

Millisecond-Level Transaction Scoring

FraudNet’s advanced AI engine evaluates each transaction in under 50 milliseconds, swiftly identifying and halting emerging fraud patterns. Ensure seamless checkout experiences and POS operations without latency, empowering your PSP to preemptively tackle fraud without disrupting the customer journey.

Automated Merchant Risk Tiering

Automatically categorize merchants into low, medium, or high-risk tiers, enabling precise control measures. This frees your analysts to concentrate on genuine anomalies, eliminating tedious manual list management and enhancing your ability to preemptively address potential threats.
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

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FAQs

What is PSP fraud trend visualization?

PSP fraud trend visualization involves using graphical representations, such as charts and graphs, to show patterns and trends in fraudulent activities affecting Payment Service Providers. This helps analysts and decision-makers quickly identify emerging fraud threats, understand their evolution over time, and implement effective countermeasures. By leveraging visualization tools, PSPs can gain insights into the types of fraud occurring, the frequency of incidents, and potential vulnerabilities in their systems.

How can visualization help in detecting fraud patterns?

Visualization helps detect fraud patterns by transforming complex datasets into intuitive visual formats, making it easier to spot anomalies and trends that might indicate fraudulent activity. For instance, heatmaps can reveal geographical concentrations of fraud, while time-series graphs can highlight spikes in suspicious transactions. By providing clear visuals, PSPs can quickly understand and react to threats, enabling more proactive fraud prevention and minimizing potential financial losses.

What are common visualization tools used for fraud trend analysis?

Common visualization tools for fraud trend analysis include Tableau, Power BI, and specialized platforms like SAS Visual Analytics and Qlik. These tools offer a range of features such as interactive dashboards, real-time data updates, and customizable reports. They help PSPs visualize large datasets, uncover hidden correlations, and monitor fraud indicators effectively. Additionally, these tools often integrate with machine learning algorithms to enhance predictive capabilities and automate fraud detection processes.

Why is real-time data important for PSP fraud trend visualization?

Real-time data is crucial for PSP fraud trend visualization because it enables immediate detection and response to fraudulent activities. By having access to up-to-the-minute information, PSPs can monitor transactions as they occur, identify suspicious patterns instantly, and take swift action to mitigate risks. This reduces the window of opportunity for fraudsters and helps prevent potential financial losses. Real-time visualization also supports dynamic reporting, allowing PSPs to keep stakeholders informed and updated.

What challenges might PSPs face when implementing fraud trend visualization?

PSPs may face several challenges when implementing fraud trend visualization, including data integration from multiple sources, ensuring data accuracy and consistency, and managing large volumes of transaction data. Additionally, there may be issues related to the customization of visualization tools to meet specific organizational needs, as well as the need for skilled personnel to interpret the visualizations effectively. Overcoming these challenges requires careful planning, investment in technology, and training for staff to maximize the benefits of visualization.

How does machine learning enhance PSP fraud trend visualization?

Machine learning enhances PSP fraud trend visualization by providing advanced analytics capabilities that can identify complex patterns and anomalies beyond human capability. Machine learning algorithms can analyze vast amounts of transaction data, learn from historical fraud incidents, and predict future fraud risks. By integrating these insights into visualization tools, PSPs can create more accurate and dynamic fraud detection models. This combination allows for proactive monitoring and a more robust defense against evolving fraud tactics.