Is Your Business Struggling With These Hidden Fraud Threats?
Safeguard your P2P platform with real-time insights and proactive measures to prevent hidden fraud threats from impacting your bottom line.
High Account Takeover (ATO) Rates
Credential stuffing and phishing give fraudsters instant wallet access, masking spikes in ATO activity that remain hidden without clear, real-time visual analytics.
Fraud From Social Engineering
Romance, family-emergency, and fake-invoice scams surge quickly; without trend dashboards you see losses only after refunds and chargebacks mount.
Real-Time Transaction Exploits
Instant pay-outs mean fraudulent transfers settle in seconds; teams need visual alerts to spot abnormal velocity before money exits the ecosystem.
Synthetic Identity Fraud
Blended profiles slip through onboarding checks, creating hard-to-trace rings; missing cross-channel views obscures patterns across related accounts.
Empower Your Defense with FraudNet's Smart Solutions
Enhance security and efficiency for P2P payments by detecting fraud patterns before they cause losses.
Real-Time Transaction Monitoring
Score and visualize every transfer instantly.
Entity Screening & Onboarding
Expose risky sign-ups via dynamic heat maps.
Behavioral Biometrics
Surface anomalous device, speed, or location shifts.
Anomaly Detection Engine
Flag trend outliers across users and cohorts.
Unified Fraud Intelligence Dashboard
Experience a centralized dashboard that visualizes ATO attempts, scam patterns, and transaction speeds all in one view. Empower your P2P payment platform with real-time insights to swiftly detect and address threats, ensuring secure, data-driven decision-making for seamless user experiences.
AI-Native Trend Forecasting
FraudNet identifies emerging fraud patterns and transaction volumes, empowering P2P payment companies to adjust security protocols proactively. By anticipating threats before they impact your bottom line, you avoid costly losses and ensure smoother, more secure transactions for your users.
Collaborative Case Drill-Down
Empower your P2P payment team with the ability to seamlessly transition from macro heat maps to detailed transaction evidence. This functionality accelerates investigation cycles and boosts operational efficiency, ensuring swift responses to emerging threats and maintaining user trust.
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 is P2P fraud trend visualization?
P2P fraud trend visualization is the process of using visual tools to represent data related to fraudulent activities in peer-to-peer transactions. This involves creating graphs, charts, and other visual aids to detect patterns, anomalies, and trends in fraud attempts, which can help in understanding the scope and nature of fraud activities and implementing preventative measures.
Why is P2P fraud trend visualization important?
P2P fraud trend visualization is crucial because it enables financial institutions and payment platforms to quickly identify and respond to suspicious activities. By visualizing data, organizations can more easily pinpoint trends and patterns that may indicate fraud, improve their risk management strategies, and enhance their ability to protect users from financial losses.
What tools are commonly used for P2P fraud trend visualization?
Common tools for P2P fraud trend visualization include data analytics platforms like Tableau, Power BI, and QlikView, which offer robust capabilities for creating interactive dashboards and reports. These tools allow users to manipulate large datasets, apply filters, and generate visualizations such as heat maps, line graphs, and network diagrams to better understand fraud patterns.
How can machine learning enhance P2P fraud trend visualization?
Machine learning can enhance P2P fraud trend visualization by automating the detection of complex patterns and anomalies that might be missed by traditional methods. Algorithms can analyze vast amounts of transaction data in real-time, identify potentially fraudulent activities, and present these findings visually. This allows for more accurate and timely detection, helping organizations stay ahead of emerging fraud tactics.
What are some common challenges in visualizing P2P fraud trends?
Common challenges in visualizing P2P fraud trends include managing large volumes of data, ensuring data accuracy and integrity, and distinguishing between normal and suspicious transaction patterns. Additionally, evolving fraud tactics require continuous updates to detection models and visualization techniques, which can be resource-intensive. Ensuring data privacy and compliance with regulations is also a critical concern.
How can P2P platforms benefit from fraud trend visualization?
P2P platforms can benefit from fraud trend visualization by gaining insights into the behavior of fraudulent activities, which helps in developing more effective fraud prevention strategies. Visualization aids in the quick identification of suspicious patterns, enabling faster response times. It also enhances decision-making, improves user trust by demonstrating proactive security measures, and potentially reduces financial losses associated with fraud.