Are You Struggling with These Fraud Challenges?
Protect your platform and user trust by addressing high-risk vulnerabilities in real-time, reducing fraud and operational disruptions.
High Account Takeover (ATO) Rates
Credential stuffing and phishing let fraudsters hijack wallets, spoof contacts, and drain balances within seconds, leaving almost no recovery window and eroding user trust.
Fraud Driven by Social Engineering
Romance, help-desk, and marketplace cons trick real users into sending money for fake stories or nonexistent goods, forcing platforms to absorb refunds, chargebacks, and brand damage.
Real-Time Transaction Exploits
Instant settlement gives risk teams seconds to act. Mule rings hop between apps and cash out via crypto before manual review can begin, generating unrecoverable losses.
Synthetic Identity Fraud
Disposable emails and deepfake selfies breeze through light KYC, letting bots mass-create aged accounts that later orchestrate coordinated refund or ACH-pull scams.
FraudNet: Proactive Solutions to Secure Every Transaction
Protect your P2P platform by preventing fraud, ensuring trust, and minimizing financial losses.
Real-Time Payment Scoring
Blocks high-risk transfers in milliseconds, before money leaves the wallet.
Entity Screening at Onboarding
Verifies IDs against AML and fraud signals, stopping fake users at sign-up.
Behavioral Biometrics
Profiles keystrokes, device, and motion to flag suspicious user behavior.
Adaptive Anomaly Analytics
Learns normal spend patterns and auto-alerts on deviations across accounts.
High Accuracy Without High Cost
FraudNet’s AI-driven models leverage anonymized global insights to achieve over 99% fraud detection accuracy, minimizing false positives. This efficiency allows P2P payment companies to significantly reduce losses without the need to expand their fraud review teams unnecessarily.
Unified Case Workspace
Streamline your dispute resolution process with FraudNet's integrated dashboard, linking data, evidence, and communication in one place. Empower your analysts to resolve P2P disputes 60% faster, allowing them to concentrate on strategic initiatives rather than tedious data collection.
Pay-As-You-Grow Pricing
Scale effortlessly with our cloud-based, usage-driven pricing. Expand your P2P payment offerings or venture into new markets without the burden of hefty upfront costs. Enjoy flexibility and growth by aligning expenses to your transaction volume, ensuring maximum ROI.
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 cost-effective fraud detection?
P2P cost-effective fraud detection refers to methods and technologies used to identify and prevent fraudulent activities in peer-to-peer payment systems while optimizing costs. This involves leveraging machine learning algorithms, real-time data analysis, and automated monitoring systems to detect unusual patterns or anomalies in transactions that may indicate fraud, all while keeping operational expenses manageable for businesses.
Why is fraud detection important for P2P payment systems?
Fraud detection is crucial for P2P payment systems to maintain user trust, prevent financial losses, and comply with regulatory requirements. As these platforms handle sensitive financial data and facilitate numerous transactions, they are prime targets for fraudsters. Effective fraud detection helps in identifying and mitigating fraudulent activities before they can cause significant harm, ensuring a secure and reliable payment environment for users.
What are the common techniques used in P2P fraud detection?
Common techniques in P2P fraud detection include machine learning algorithms, rule-based systems, anomaly detection, behavioral analytics, and real-time transaction monitoring. These techniques help identify patterns and anomalies that suggest fraudulent activities. Machine learning, in particular, can adapt and improve over time, identifying new fraud tactics as they emerge, while behavioral analytics helps in recognizing deviations from typical user behavior that may indicate fraud.
How do machine learning algorithms aid in fraud detection?
Machine learning algorithms aid in fraud detection by analyzing large volumes of transaction data to identify patterns and anomalies indicative of fraudulent behavior. These algorithms can learn from historical data, continuously improving their accuracy in predicting and flagging potential fraud. They help in automating the detection process, reducing the need for manual intervention, and enabling real-time analysis, which is crucial for preventing fraud in P2P payment systems.
What challenges do P2P platforms face in implementing fraud detection systems?
P2P platforms face several challenges in implementing fraud detection systems, including balancing security with user experience, managing false positives, adapting to evolving fraud tactics, and maintaining cost-effectiveness. Ensuring robust security measures without complicating the user experience is crucial, as excessive security protocols can deter users. Additionally, staying ahead of sophisticated fraud techniques while keeping operational costs low requires continuous innovation and investment in advanced detection technologies.
How can P2P payment companies improve their fraud detection capabilities while keeping costs low?
P2P payment companies can improve fraud detection capabilities by leveraging cloud-based solutions, adopting machine learning and AI technologies, and utilizing open-source tools. Collaborating with industry experts and sharing insights with other financial institutions can also enhance detection strategies. Regularly updating algorithms and systems to counter new fraud techniques, while automating processes to reduce manual intervention, helps maintain effectiveness. Optimizing resources and focusing on key risk areas can further control costs.