Are You Struggling with These Critical Payment Processing Challenges?
Address your toughest payment processing hurdles with confidence, ensuring security, compliance, and efficiency in a rapidly evolving landscape.
Instant, High-Risk CNP & Cross-Border Traffic
Real-time payment rails leave no buffer for manual review, exposing acquirers to skyrocketing fraud losses and network fines.
Account Takeovers & Synthetic Identities
Fraudsters sidestep basic KYC, hijack wallets, and open fake merchant accounts, draining funds and eroding customer trust.
Surging Chargebacks and Payment Disputes
CNP fraud and promo abuse drive costly refund cycles, inflating operational spend and threatening chargeback thresholds.
Fragmented Global Regulations
PSD2, FedNow, UPI, FATF, and 5AMLD all differ, forcing payment firms to juggle region-specific controls and audits.
FraudNet: Revolutionizing Fraud Prevention with Cutting-Edge Solutions
Enhance security, streamline operations, and boost customer trust with FraudNet’s comprehensive payment protection solutions.
Real-Time Transaction Monitoring
Scores every payment in ms, flags anomalies before settlement.
Automated Entity & Sanction Screening
Automates KYB/AML checks against global lists at onboarding and ongoing.
AI-Native Risk Decisioning
Learns from your data to refine thresholds and slash false positives.
Unified Case Management
Consolidates alerts, evidence, and workflows for faster investigation.
Millisecond-Level Fraud Blocking
FraudNet's cutting-edge adaptive models evaluate each transaction in milliseconds, intercepting fraudsters before approval. This ensures seamless transactions for legitimate customers, safeguarding your revenue while enhancing the customer experience and maintaining the integrity of your payment platform.
Single Hub for Fraud, Risk, Compliance
Streamline your operations with a unified console that centralizes live alerts, merchant data, and audit trails. Eliminate time-consuming swivel-chair reviews, reduce analyst workload, and enhance efficiency, all while maintaining robust fraud detection and compliance across global payment networks.
Precision That Reduces False Positives
Leverage cutting-edge Layered AI, consortium intelligence, and advanced rules optimization to dramatically reduce false declines. Enhance approval rates and elevate customer satisfaction, ensuring seamless transactions and fostering trust in every interaction for your payment company.
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 intelligent automation in the context of payment companies?
Intelligent automation in payment companies refers to the use of advanced technologies like artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to streamline and enhance payment processes. This includes automating routine tasks, improving transaction accuracy, enhancing fraud detection, and providing personalized customer experiences. By leveraging these technologies, payment companies can increase efficiency, reduce operational costs, and improve compliance while delivering faster and more secure payment services.
How does intelligent automation improve fraud detection?
Intelligent automation improves fraud detection by utilizing AI and machine learning algorithms to analyze vast amounts of transaction data in real-time. These technologies can identify patterns and anomalies that may indicate fraudulent activity, such as unusual spending behaviors or multiple transactions from different locations. By continuously learning from new data, automated systems can adapt to emerging fraud tactics, providing payment companies with more accurate and timely fraud detection capabilities, ultimately reducing financial losses and enhancing customer trust.
What are the benefits of using intelligent automation for payment processing?
The benefits of using intelligent automation for payment processing include increased efficiency, reduced manual errors, and faster transaction times. Automation allows payment companies to handle large volumes of transactions with minimal human intervention, improving accuracy and consistency. Additionally, intelligent automation can enhance compliance by ensuring adherence to regulatory requirements and reducing the risk of human error. It also frees up human resources to focus on more strategic tasks, improving overall operational effectiveness and customer satisfaction.
Can intelligent automation help with regulatory compliance in payment processing?
Yes, intelligent automation can significantly aid in regulatory compliance for payment processing. Automated systems can be programmed to adhere to specific compliance protocols and regulations, such as anti-money laundering (AML) or Know Your Customer (KYC) requirements. By continuously monitoring transactions and flagging suspicious activities, intelligent automation ensures that payment companies meet regulatory standards. This not only reduces the risk of non-compliance penalties but also strengthens the company's reputation by demonstrating a commitment to maintaining a secure and compliant payment environment.
How can intelligent automation personalize customer experiences in payment services?
Intelligent automation can personalize customer experiences by analyzing customer data to understand their preferences and behaviors. Using AI and machine learning, payment companies can offer tailored services, such as personalized recommendations, targeted promotions, and customized communication. Automation also allows for quick response times and seamless interactions, enhancing customer satisfaction. By anticipating customer needs and providing relevant solutions, intelligent automation helps build stronger customer relationships and loyalty, ultimately driving business growth and competitive advantage.
What challenges might payment companies face when implementing intelligent automation?
Payment companies may face several challenges when implementing intelligent automation, including high initial costs, integration with existing systems, and data privacy concerns. The complexity of aligning new technologies with legacy infrastructure can pose technical challenges, while ensuring data security and compliance with privacy regulations requires careful planning and execution. Additionally, there may be resistance to change from employees who fear job displacement. Overcoming these challenges requires a strategic approach, including stakeholder buy-in, employee training, and a clear roadmap for implementation to ensure successful adoption.