Are Fragmented Records and Lagging Detection Hurting Your P2P Transactions?
Streamline your P2P operations and protect revenue by addressing fragmented records and slow fraud detection with integrated solutions.
Fragmented Transaction Records
P2P apps often store payment, KYC, and device data in separate systems, making it hard to see an end-to-end customer journey or spot coordinated attacks.
Lagging Fraud Detection
Without a unified data stream, risk teams rely on batch reconciliations that surface fraud hours—or days—after funds have moved, driving up write-offs.
Excessive False Positives
Isolated risk signals trigger unnecessary holds and manual reviews, frustrating legitimate users and inflating operational costs.
Complex Compliance Reporting
Regulators expect audit-ready logs across all channels; siloed data forces teams to stitch reports manually, slowing responses and raising penalty exposure.
Streamline Security with FraudNet's Unified Solutions
Streamline operations and enhance security by unifying data for seamless, real-time fraud detection.
Unified Data Lake
Consolidates all P2P data into one searchable repository.
Real-Time Stream Integration
Ingests payments, device, and KYC feeds in milliseconds.
Cross-Channel Entity Linking
Automatically ties users, devices, and accounts together.
Centralized Analytics Dashboard
Delivers live fraud KPIs and drill-down investigation tools.
AI-Native Real-Time Detection
FraudNet's AI-driven detection analyzes every P2P transaction in milliseconds, using a unified data approach to identify anomalies before funds settle. Protect your platform with proactive fraud prevention that ensures seamless user experiences and minimizes financial risks.
Holistic Entity Resolution
Transform your risk management with our platform's holistic entity resolution. Seamlessly link users, devices, and funding sources into a unified risk profile, significantly reducing false positives and uncovering hidden mule networks, ensuring smoother operations and enhanced security for your P2P transactions.
Integrated Case Management & Reporting
Streamline your compliance and fraud investigations effortlessly. Our integrated case management system allows you to manage and resolve cases within a single platform, while instantly generating regulator-compliant reports. Simplify operations and minimize risk with a click.
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 siloed data visibility?
P2P siloed data visibility refers to the ability to access and analyze data that is compartmentalized or isolated within a peer-to-peer network. In the context of P2P payment systems, it involves integrating disparate data sources to provide a comprehensive view across different silos, allowing for better decision-making, improved risk management, and enhanced user experience.
Why is siloed data a challenge in P2P systems?
Siloed data in P2P systems is challenging because it creates barriers to information sharing and analysis. Each silo may have its own data format, access protocols, and security measures, making it difficult to gain a holistic view. This fragmentation can lead to inefficiencies, increased risk of fraud, and missed opportunities for insights that could improve service delivery and user engagement.
How does improving data visibility benefit P2P networks?
Improving data visibility in P2P networks enhances transparency, facilitates real-time monitoring, and aids in identifying trends and anomalies quickly. This leads to better fraud detection, improved compliance with regulations, and a more personalized user experience. Additionally, it enables more efficient operations and the ability to respond swiftly to market changes or emerging risks.
What technologies can enhance siloed data visibility in P2P systems?
Technologies such as data integration platforms, APIs, machine learning, and blockchain can enhance siloed data visibility in P2P systems. Data integration platforms and APIs facilitate the seamless connection of disparate data sources, while machine learning can analyze large datasets to uncover patterns and insights. Blockchain provides a secure and transparent ledger that can be used to track transactions across silos.
What are the risks associated with poor data visibility in P2P networks?
Poor data visibility in P2P networks can lead to increased fraud risk, regulatory non-compliance, and inefficient operations. It can also hinder the detection of suspicious activities and compromise data security. Additionally, it limits the ability to personalize services and respond to user needs effectively, potentially leading to a loss of customer trust and competitive disadvantage.
How can organizations achieve better data visibility in P2P networks?
Organizations can achieve better data visibility in P2P networks by implementing robust data integration solutions, adopting standardized data formats, and using advanced analytics tools. Investing in real-time monitoring and automated reporting can also help. Collaborating with technology partners and adopting best practices for data governance and security are crucial to maintaining a seamless and transparent data environment.