Are You Prepared to Tackle These Pervasive Fraud Challenges?
Safeguard your platform from fraud, protect users, and maintain trust by addressing these critical challenges head-on.
Account Takeover Surge
Phishers hijack customer wallets, change credentials, then drain balances or request refunds. P2P apps face brand-damaging chargebacks and frantic support volumes while trying to verify true owners in seconds.
Synthetic Identity Proliferation
Fraudsters stitch stolen SSNs, emails, and devices to open fresh P2P accounts, quietly age them, then funnel funds. Thin histories make rule-based tools miss the threat until losses surface.
Social-Engineered Push Scams
Con artists pose as tech support or family, persuading users to ‘confirm’ payments. Real-time, irrevocable transfers leave providers refunding victims and absorbing reputational hits.
Money-Muling Exposure
Large volumes of small, cross-border hops wash illicit proceeds through unwitting users. Regulators flag inadequate AML controls, driving fines and costly manual investigations.
Stop Fraud Instantly with FraudNet's Intelligent Solutions
FraudNet empowers P2P payment companies to detect and prevent fraud swiftly, ensuring secure transactions.
Real-Time Transaction Monitoring
Millisecond scoring blocks suspect transfers before funds move
Behavioral Biometrics
Keystroke and swipe patterns verify genuine users invisibly
Predictive Risk Analytics
Models forecast fraud trends and adapt without code pushes
Automated Risk Scoring
Dynamic scores route only risky events to human review
AI-Native, Real-Time Protection
FraudNet instantly evaluates each P2P transaction in under 50 milliseconds, leveraging global insights to halt account takeovers, synthetic identities, and mule activities before approval. Ensure seamless user experiences while fortifying your platform against fraud—all without disrupting legitimate transactions.
Unified Fraud, AML, and Case Hub
Experience comprehensive risk management with our all-in-one dashboard. Access transaction history, device DNA, geolocation, and behavioral biometrics in one place. Streamlined workflows prioritize alerts, drastically reducing manual review time while ensuring impeccable audit trails. Elevate your P2P security effortlessly.
Lowest False-Positive Rates
Our adaptive models expertly differentiate between casual repayments and potential fraud, ensuring high acceptance rates and minimal chargeback expenses. Deliver a seamless payment experience to your customers while your team efficiently targets genuine threats, enhancing both security and satisfaction.
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 P2P AI fraud automation?
P2P AI fraud automation refers to the use of artificial intelligence technologies to detect, prevent, and manage fraudulent activities in peer-to-peer payment systems. By leveraging machine learning algorithms and data analytics, these systems can identify suspicious patterns and anomalies in transactions, helping to protect users from fraud and enhancing overall security.
How does AI improve fraud detection in P2P payments?
AI improves fraud detection by analyzing vast amounts of transaction data in real-time to identify patterns and anomalies indicative of fraudulent behavior. Machine learning models can adapt over time, learning from new data to improve accuracy. This allows for quicker detection and response compared to traditional rule-based systems, reducing false positives and enhancing user experience while maintaining robust security.
What types of fraud can P2P AI systems detect?
P2P AI systems can detect a variety of fraud types, including account takeovers, identity theft, transaction laundering, phishing scams, and money laundering activities. By continuously monitoring transaction patterns and user behavior, these systems can quickly flag and respond to unusual activities that may indicate fraudulent intent, protecting users and the platform from financial losses.
Are P2P AI fraud detection systems scalable?
Yes, P2P AI fraud detection systems are highly scalable. They can handle increasing volumes of transaction data efficiently, making them suitable for growing platforms. AI models can be trained to manage larger datasets and adapt to new fraud tactics, ensuring consistent performance even as the number of users and transactions increases, thereby maintaining high levels of security.
How does AI reduce false positives in fraud detection?
AI reduces false positives by using sophisticated algorithms that analyze transaction context, user behavior, and historical data to distinguish between legitimate and suspicious activities. Machine learning models are trained on diverse datasets to recognize subtle variations in user actions, allowing them to make more informed decisions. This reduces the likelihood of incorrectly flagging legitimate transactions as fraudulent, enhancing user trust and satisfaction.
What are the privacy concerns associated with AI in fraud detection?
Privacy concerns with AI in fraud detection primarily revolve around data handling and user consent. Collecting and analyzing transaction data can raise issues regarding data protection and user privacy. It is crucial for P2P platforms to implement strong data governance policies, ensure transparency in data usage, and comply with regulations like GDPR. Providing users with clear information about data collection practices and obtaining consent can help address these concerns.