Are You Struggling with These Pervasive Fraud Challenges?
Safeguard your platform, enhance user trust, and streamline compliance by addressing critical fraud vulnerabilities in real-time.
Account Takeovers (ATO)
Stolen credentials or SIM-swaps let fraudsters seize user wallets, drain balances, and tarnish your platform’s security reputation, making audits on control effectiveness difficult.
Synthetic Identity Fraud
Fabricated personas open new P2P accounts, transact briefly, then vanish, leaving losses and raising regulator doubts about your KYC and fraud-screening rigor.
Social Engineering Scams
Victims are duped into sending funds to impostors, producing high dispute volumes and pressure to prove preventative controls to regulators and banks.
Money-Mule Networks
Coordinated rings move illicit funds through thousands of small transfers, inflating AML exposure and challenging your ability to document real-time detection controls.
Enhance Security: FraudNet's Cutting-Edge Fraud Solutions
Elevate your P2P security, reduce fraud, and enhance trust with seamless, real-time protection.
Real-Time Transaction Monitoring
Scores each P2P transfer in ms; auto-blocks high-risk moves.
Device Intelligence
Links devices to spot ATOs and shared mule hardware instantly.
Synthetic ID Detection
Flags fabricated profiles via consortium and behavioral data.
Geo-Velocity Analysis
Catches impossible travel or IP shifts before payout.
AI-Native Real-Time Detection
FraudNet analyzes each P2P transaction in milliseconds, adapting seamlessly to emerging fraud patterns without the need for manual rule updates. This proactive approach ensures you prevent financial losses before funds can exit a user’s account, safeguarding your platform’s integrity.
Unified Case & Audit Reporting
Centralize all alerts, evidence, and investigator actions in one intuitive console. Effortlessly generate exportable reports that demonstrate control effectiveness, satisfying both regulators and banking partners. Streamline your compliance process and reinforce your platform’s security reputation with ease.
Industry-Low False Positives
Our precision models minimize customer friction while maintaining high fraud detection rates, effectively reducing support costs and enhancing user trust. These are crucial metrics for P2P Payment companies aiming to benchmark program success and secure a competitive edge in the market.
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 fraud control effectiveness?
P2P fraud control effectiveness refers to the ability of systems and strategies to detect, prevent, and mitigate fraudulent activities in peer-to-peer payment transactions. This includes identifying suspicious activities, blocking unauthorized transactions, and safeguarding user data. Effective fraud control ensures that both users and platforms are protected against financial losses and reputational damage, maintaining trust and security in digital payment ecosystems.
How can machine learning enhance P2P fraud detection?
Machine learning enhances P2P fraud detection by analyzing large volumes of transaction data to identify patterns and anomalies indicative of fraud. It can adapt to new fraudulent tactics by learning from historical data, improving accuracy over time. Machine learning models can quickly process and analyze real-time transactions, enabling faster and more efficient fraud detection and prevention. This adaptive capability helps in minimizing false positives and ensuring legitimate transactions are not hindered.
What are common indicators of P2P payment fraud?
Common indicators of P2P payment fraud include unusual transaction amounts, rapid succession of transactions, transactions to or from high-risk locations, mismatched IP addresses and device information, and high transaction frequency from new accounts. Other signs may include changes in user behavior, such as accessing accounts from new devices or locations. Monitoring these indicators helps in identifying potentially fraudulent activities early and prevents financial losses.
How do P2P platforms balance fraud prevention with user experience?
P2P platforms balance fraud prevention with user experience by implementing security measures that do not overly disrupt the transaction process. This includes using advanced authentication methods like biometrics, risk-based authentication that adapts to the user's behavior, and providing clear communication about security measures. Platforms aim to detect and prevent fraud while ensuring a seamless and user-friendly experience, minimizing friction in the transaction process.
Why is real-time monitoring crucial for P2P fraud prevention?
Real-time monitoring is crucial for P2P fraud prevention because it allows for immediate detection and response to suspicious activities. This timely intervention can prevent fraudulent transactions from being completed, reducing financial losses for users and platforms. Real-time data analysis helps in identifying and blocking potentially fraudulent transactions before they are processed, ensuring the security of the payment ecosystem and maintaining user trust.
What role do user education and awareness play in preventing P2P fraud?
User education and awareness play a vital role in preventing P2P fraud by empowering users to recognize and avoid potential scams. Educating users about common fraud tactics, such as phishing and social engineering, and encouraging secure practices, like using strong passwords and enabling two-factor authentication, can significantly reduce the risk of fraud. Informed users are less likely to fall victim to fraudulent schemes, which enhances the overall security of the P2P payment platform.