Are These P2P Payment Challenges Undermining Your Security?
Overcome security hurdles to protect your users, reduce losses, and maintain trust in your P2P payment platform.
Account Takeovers (ATO)
Stolen credentials, SIM swaps, or malware let criminals hijack P2P wallets, reroute transfers, and drain balances in seconds. Manual reviews can’t keep pace, leading to chargebacks, churn, and regulatory scrutiny.
Synthetic Identity Fraud
Fraudsters blend real SSNs with fake details to open “clean” P2P accounts, build transaction history, then launder funds. Traditional KYC misses these hybrids, driving losses and BSA/AML exposure.
Social Engineering Scams
Imposters pose as friends, support agents, or romantic partners to trick users into sending irreversible P2P payments. Because transfers are user-authorized, refunds are rare and brand trust suffers.
Money Muling
Organized rings recruit gig workers or vulnerable users to relay illicit proceeds through multiple P2P accounts, masking origins. This spikes AML alerts, inflates SAR workload, and endangers banking relationships.
Empower Fraud Prevention with FraudNet's Cutting-Edge Solutions
Boost security and trust for P2P payments by preventing fraud before it affects users.
Real-Time Transaction Monitoring
Milliseconds scoring blocks risky transfers pre-funding.
Device Intelligence
Linked-device signals expose shared fraud rings instantly.
Synthetic Identity Detection
Cross-data matching flags fabricated profiles at sign-up.
Geo-Velocity & Location Analysis
Detect impossible travel and proxy use in live sessions.
AI-Native Real-Time Risk Scoring
FraudNet analyzes each P2P transaction in under 300 ms, integrating behavioral, device, and identity insights. This swift evaluation halts fraud before funds transfer, ensuring security without disrupting user experience, and empowering P2P payment companies to maintain trust and efficiency.
Unified Case Management & Automation
Streamline your fraud detection with our unified case management system. Automatically prioritize alerts, collect evidence, and resolve cases with a single click, dramatically reducing analyst workload and backlog. Enhance efficiency and focus on safeguarding your P2P payment platform.
Precision Models That Lower False Positives
Leverage adaptive machine learning and consortium intelligence to reduce false positives by up to 70%. This empowers your team to concentrate on genuine threats, enhancing security while delivering a seamless user experience that fosters trust and satisfaction with your P2P payment platform.
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 P2P automated fraud triage?
P2P automated fraud triage is a process used by peer-to-peer payment platforms to quickly and efficiently evaluate and manage potential fraudulent activities. By using automation, these systems can rapidly analyze transaction patterns, identify anomalies, and prioritize cases that require further investigation, thereby reducing the manual workload and enhancing the overall security of the payment ecosystem.
How does P2P automated fraud triage work?
P2P automated fraud triage works by using advanced algorithms and machine learning models to analyze transaction data in real-time. The system can identify suspicious activities by detecting unusual patterns or deviations from typical user behavior. Once flagged, these transactions are prioritized based on risk level, allowing fraud analysts to focus on the most critical cases while ensuring legitimate transactions proceed smoothly.
What are the benefits of using automated fraud triage in P2P payments?
Automated fraud triage offers several benefits, including increased efficiency in identifying and handling fraudulent transactions, reduced false positives, and minimized operational costs. It enhances the security of P2P payment platforms by enabling rapid detection and response to potential threats, thereby protecting users' financial assets and maintaining trust in the service. Additionally, automation frees up valuable resources, allowing fraud analysts to concentrate on more complex investigations.
What challenges can arise in implementing P2P automated fraud triage?
Implementing P2P automated fraud triage can present challenges such as ensuring data accuracy, maintaining up-to-date machine learning models, and balancing security with user experience. There can also be issues with integrating the system into existing infrastructures and dealing with evolving fraud tactics. Continuous monitoring and system updates are necessary to address these challenges and ensure the triage system remains effective against new and sophisticated fraud schemes.
How does machine learning contribute to P2P fraud detection?
Machine learning plays a crucial role in P2P fraud detection by enabling systems to learn from historical data and identify patterns indicative of fraudulent behavior. These models can adapt to new fraud tactics by continuously updating their algorithms based on incoming transaction data. This adaptability not only improves the accuracy of fraud detection but also enhances the system’s ability to minimize false positives, ensuring legitimate transactions are not unnecessarily flagged.
What is the future of P2P automated fraud triage?
The future of P2P automated fraud triage lies in the integration of more sophisticated AI technologies and enhanced data analytics capabilities. As fraudsters become more adept, the triage systems will need to evolve, incorporating real-time data analysis and collaborative intelligence sharing among financial institutions. The use of blockchain technology and biometric authentication may also become more prevalent, further strengthening security measures and enhancing user trust in P2P payment platforms.