Are Hidden Threats and Fragmented Data Costing You Millions in Fraud and Compliance?
Streamline detection and compliance efforts to safeguard revenue and ensure seamless operations across all payment channels.
Hidden Fraud Spikes in Real-Time Rails
Instant payments leave no buffer for manual review, so scams spread before patterns are visible.
Fragmented Data Across Payment Channels
Card, ACH, and RTP data sit in silos, making it hard to build a single view of emerging fraud.
Soaring Chargebacks and Disputes
Without clear trend visuals, recurring CNP fraud goes unnoticed until costly refund rates explode.
Regulatory Patchwork Pressure
PSD2, FedNow, and 5AMLD demand region-specific reporting that manual spreadsheets can’t support.
FraudNet Solutions: Detect and Defeat Fraud Instantly
Boost fraud prevention and streamline compliance, saving payment companies millions with FraudNet's advanced solutions.
Real-Time Transaction Monitoring
Live dashboards surface anomalies instantly for proactive blocking.
AI Risk Scoring Engine
Auto-scores every payment; visual heatmaps flag rising threats.
Continuous Entity Screening
Graphs show KYB/KYC risk shifts across merchants over time.
Unified Case Management
One workspace links alerts, evidence, and outcomes in context.
Holistic Fraud Trend Visualization
FraudNet seamlessly integrates data from card, ACH, and RTP channels, transforming it into intuitive charts that provide a comprehensive view of emerging threats. Spot fraud patterns early and act decisively to protect your transactions and maintain customer trust.
AI-Native Anomaly Detection
Our AI-native anomaly detection swiftly identifies outliers within seconds, significantly reducing false positives and easing analyst workload. Payment companies can now focus on genuine threats, enhancing security and efficiency without the drain of manual investigations.
Compliance-Ready Reporting
Effortlessly export regulator-specific summaries with precision and speed. Our solution cuts down audit and filing prep time, ensuring compliance with PSD2, FedNow, and 5AMLD standards. Stay ahead of regulatory demands and streamline your reporting process with confidence and efficiency.
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 is payment company fraud trend visualization?
Payment company fraud trend visualization refers to the use of graphical representations, such as charts and graphs, to illustrate patterns and trends in fraudulent activities. This approach helps payment companies quickly identify anomalies, understand the frequency and types of fraud occurring, and make data-driven decisions to mitigate risks and enhance security measures.
Why is fraud trend visualization important for payment companies?
Fraud trend visualization is crucial because it enables payment companies to quickly and effectively analyze large datasets, identify emerging fraud patterns, and respond proactively. By visualizing trends, businesses can allocate resources more efficiently, develop targeted anti-fraud strategies, and reduce financial losses. It also aids in communicating complex data insights to stakeholders, leading to better-informed decision-making.
What tools are commonly used for fraud trend visualization?
Common tools for fraud trend visualization include data visualization software like Tableau, Power BI, and Qlik, as well as specialized fraud detection platforms that offer built-in visualization capabilities. These tools allow payment companies to create interactive dashboards, customize visualizations to specific fraud metrics, and integrate data from multiple sources for comprehensive analysis.
How can machine learning enhance fraud trend visualization?
Machine learning can enhance fraud trend visualization by automating the detection of complex patterns and anomalies that might not be evident through traditional analysis. By employing algorithms that learn from historical data, machine learning models can predict future fraud trends, prioritize alerts based on risk levels, and provide real-time insights, thus improving the accuracy and efficiency of fraud prevention efforts.
What challenges might payment companies face in fraud trend visualization?
Payment companies may face challenges such as data quality issues, integration of disparate data sources, and the need for skilled personnel to interpret visualizations effectively. Additionally, staying up-to-date with evolving fraud techniques and ensuring that visualization tools are scalable and adaptable to changing needs can also pose significant challenges.
How can payment companies ensure effective fraud trend visualization?
To ensure effective fraud trend visualization, payment companies should invest in robust data management practices, regularly update their visualization tools, and train staff in data analysis and interpretation. Collaborating with technology partners to implement advanced analytics and machine learning can further enhance visualization capabilities. Additionally, fostering a culture of continuous monitoring and adaptation to emerging fraud trends is essential for long-term success.