Is Your Payment System Struggling with Fraud, False Positives, and Operational Bottlenecks?
Reduce fraud losses, boost approval rates, and streamline investigations with a unified solution tailored for modern payment challenges.
High Fraud Velocity in Instant Payments
Real-time rails (RTP, FedNow, SEPA Inst) settle in seconds, leaving payment teams no buffer for manual review. Fraud rings exploit this speed to cash out before chargeback or recall windows, directly impacting loss ratios and network standing.
Account Takeovers and Synthetic IDs
Credential stuffing, SIM swaps, and deep-fake documents let criminals hijack or create accounts that pass legacy KYC. Payment issuers then face unauthorized transfers, regulatory scrutiny, and customer churn when trust is broken.
Excessive False Positives
Rigid, rule-only systems flag large volumes of legitimate card-not-present and P2P transactions. Every unnecessary decline erodes interchange revenue, drives costly manual appeals, and frustrates merchants who may switch processors.
Labor-Intensive Investigations
Analysts juggle spreadsheets, email, and siloed ticketing tools to gather evidence across gateways, networks, and banks. The fragmented workflow slows triage, inflates headcount, and prolongs SLA commitments to partners.
Transform Fraud Defense with FraudNet's Cutting-Edge Solutions
Boost security, accuracy, and efficiency in payment processing with FraudNet’s proactive fraud prevention solutions.
Real-Time Transaction Monitoring
Scores every payment in milliseconds, blocking fraud before funds move.
Adaptive AI Risk Models
Learns from your data to cut false positives and surface true threats fast.
Unified Case Management
Consolidates alerts, evidence, and tasks so analysts resolve cases quicker.
Intelligent Entity Screening
Automates KYB/AML checks during onboarding and throughout account life.
AI-Native Precision
FraudNet’s AI-powered models scrutinize device, behavior, and network data in real time, halting new fraud tactics without sacrificing approval rates. Approve more legitimate transactions while reducing losses and minimizing manual reviews, enhancing both efficiency and customer satisfaction.
Single Pane of Glass
Streamline your fraud management with a unified workspace where all alerts converge. Leverage visual link analysis, auto-prioritized queues, and pre-built workflows to empower your team to resolve cases up to 70% faster, enhancing efficiency and reducing operational burdens.
Seamless Compliance
Effortlessly stay compliant with automated AML, sanctions, and PCI controls that generate audit-ready trails. Our solution ensures you're always ahead of regulatory demands, minimizing the risk of fines while keeping operational costs efficiently low, so you can focus on growth and innovation.
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 automated fraud triage in the context of payment companies?
Automated fraud triage is the process of using advanced algorithms and machine learning models to assess and prioritize potential fraud cases in payment systems. This technology helps payment companies efficiently analyze large volumes of transactions to quickly identify and address potentially fraudulent activities, reducing the need for extensive manual review and enabling more effective resource allocation.
How does machine learning enhance fraud detection?
Machine learning enhances fraud detection by continuously learning from historical data and identifying patterns associated with fraudulent activities. By analyzing vast amounts of transaction data, machine learning models can detect subtle anomalies and adapt to new fraud tactics over time. This continuous learning process enables payment companies to improve detection accuracy, reduce false positives, and quickly respond to emerging threats, thereby enhancing overall security and customer trust.
What types of payment fraud can detection software identify?
Detection software can identify various types of payment fraud, including credit card fraud, account takeover, phishing attacks, identity theft, and transaction laundering. By analyzing transaction patterns, user behavior, and other relevant data, the software can detect anomalies that may indicate fraudulent activity. This enables payment companies to take appropriate action to prevent losses and protect both merchants and consumers from financial harm.
How do payment companies benefit from automated fraud triage?
Payment companies benefit from automated fraud triage by achieving faster and more accurate detection of fraudulent activities. This automation reduces the workload on human analysts, allowing them to focus on more complex cases. It also minimizes financial losses by quickly identifying and mitigating fraud, enhances customer satisfaction by reducing false positives, and improves compliance with regulatory requirements. Overall, automated fraud triage helps companies maintain a secure and trustworthy payment environment.
What is the role of human analysts in automated fraud triage?
Human analysts play a crucial role in automated fraud triage by handling complex cases that require deeper investigation and contextual understanding. While automated systems efficiently flag potential fraud, analysts provide expertise in validating these alerts, interpreting ambiguous situations, and making final decisions. Their insights also contribute to refining algorithms and improving system accuracy over time, ensuring a balanced approach between automated detection and human judgment in managing payment fraud.
What challenges do payment companies face with automated fraud triage?
Payment companies face several challenges with automated fraud triage, including keeping up with evolving fraud tactics that require continuous model updates and improvements. Balancing false positives and negatives is another challenge, as excessive false positives can lead to customer dissatisfaction, while false negatives may result in missed fraud cases. Additionally, data privacy concerns and regulatory compliance can complicate data usage and sharing, making it crucial for companies to maintain transparency and secure data handling practices.