Is Fragmented Data and Slow Detection Compromising Your Fraud Prevention?
Streamline your fraud prevention with consolidated data and real-time insights, reducing blind spots and operational inefficiencies.
Fragmented Transaction Data
Authorization, settlement, chargeback, and device records sit in separate systems. The lack of a consolidated data layer prevents payment processors from seeing cross-channel patterns and obscures early fraud signals, creating blind spots that fraudsters exploit.
Slow Detection & Excessive False Positives
Without unified, real-time intelligence, rules fire on incomplete information. Legitimate traffic is declined, fraud slips through, and processors absorb higher network fees, lost interchange, and frustrated merchants.
Inefficient Investigations
Analysts toggle between gateways, CRM tools, and spreadsheets to piece together cases. The manual effort drags resolution times, inflates operational costs, and jeopardizes SLA commitments to acquiring banks and merchants.
Compliance & Reporting Gaps
Disparate databases make it hard to generate auditable trails for PCI DSS, PSD2, and card-scheme mandates. Missed deadlines or inaccuracies can trigger fines and erode processor credibility.
Transform Payment Security with FraudNet's Unified Solutions
Unify and streamline payment data for faster fraud detection and improved transaction accuracy.
Enterprise Data Hub
Ingest, normalize, and store multi-source payments data in one place.
Stream Processing & Scoring
Score every event in milliseconds using AI models on unified data.
Unified Case Workspace
Gather alerts, evidence, and collaboration tools in one dashboard.
Automated Compliance Reporting
Auto-generate regulator-ready reports from a single data schema.
Real-Time Transaction Monitoring
FraudNet's lightning-fast analysis processes high-volume payment streams in milliseconds, leveraging AI-native models to spot fraud before authorization. This ensures seamless, genuine transactions, reducing false declines and safeguarding your reputation while enhancing customer trust and optimizing operational efficiency for payment processors.
Advanced Analytics & Reporting
Dynamic dashboards uncover emerging attack patterns and portfolio risks, empowering your team to refine defenses efficiently. Seamlessly present executive-ready insights with zero manual data wrangling, ensuring your operations stay ahead of threats while optimizing performance and enhancing decision-making capabilities.
Unified Case Management Dashboard
Centralize alerts, merchant histories, and evidence in a single workspace. Benefit from automated workflows and audit trails that dramatically reduce investigation times, enhance regulatory compliance, and empower your team to resolve cases efficiently, safeguarding your reputation and boosting merchant 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
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FAQs
What is meant by 'siloed data visibility' in payment processing?
In payment processing, 'siloed data visibility' refers to the challenge of accessing and integrating data that is isolated within different systems or departments. This can hinder comprehensive analysis and decision-making, as data from various sources—such as transaction details, customer information, and fraud alerts—are not easily consolidated. Improving visibility involves breaking down these silos to enable a unified view of data across the entire payment ecosystem.
Why is siloed data a problem for payment processors?
Siloed data poses significant challenges for payment processors because it limits the ability to perform comprehensive analysis and make informed decisions. When data is fragmented across different systems, it becomes difficult to detect patterns, identify fraud, and provide seamless customer experiences. Moreover, it can lead to inefficiencies, increased operational costs, and compliance risks, as processors struggle to maintain a coherent view of transactions and customer interactions.
How can payment processors improve siloed data visibility?
Payment processors can enhance siloed data visibility by implementing data integration solutions that consolidate information from various sources into a centralized platform. This can involve using APIs, data lakes, or cloud-based systems to facilitate real-time data sharing and analysis. Additionally, adopting advanced data analytics and machine learning tools can help process and interpret the integrated data, providing valuable insights for fraud detection, customer behavior analysis, and operational efficiency.
What are the benefits of breaking down data silos in payment processing?
Breaking down data silos in payment processing offers numerous benefits, including improved fraud detection, enhanced customer experience, and better compliance management. By integrating data, processors can gain a holistic view of transactions and customer interactions, allowing for more accurate and timely identification of suspicious activities. Additionally, it enables personalized services and faster resolution of issues, ultimately leading to increased customer satisfaction and loyalty. Streamlined data access also supports regulatory compliance by ensuring transparency and traceability.
What challenges do payment processors face when integrating siloed data?
Integrating siloed data presents several challenges for payment processors, including technical complexities, data privacy concerns, and resistance to change within organizations. Technical challenges involve ensuring compatibility between disparate systems and maintaining data quality and integrity during integration. Privacy concerns arise from handling sensitive customer information across multiple platforms. Furthermore, organizational resistance may stem from a lack of awareness or reluctance to adopt new technologies. Overcoming these challenges requires strategic planning, investment in technology, and fostering a culture of data-driven decision-making.
How does improved data visibility impact customer experience in payment processing?
Improved data visibility significantly enhances the customer experience in payment processing by enabling more personalized and efficient services. With a unified view of customer data, payment processors can tailor offerings, anticipate customer needs, and resolve issues more swiftly. This leads to smoother transactions, reduced friction, and increased trust. Moreover, enhanced fraud detection capabilities ensure greater security, providing customers with peace of mind. Overall, better data visibility allows for a more responsive and customer-centric approach, fostering loyalty and satisfaction.