Are Manual Processes and Compliance Gaps Exposing Your Payment Network to Risks?
Streamline compliance and reduce risk exposure by automating processes to protect your payment network and enhance security.
KYB Onboarding Risk
Front companies slip through manual due-diligence checks, exposing payment networks to illicit entities and chargeback abuse. B2B processors struggle to validate corporate registries, ownership layers, and sanction status at scale.
Invoice & Vendor Fraud
Fake or manipulated invoices, diverted bank details, and rogue vendor files drain working capital. Decentralized AP systems make it hard for payment firms to flag anomalies before funds settle.
Complex Cross-Border Compliance
Keeping pace with AML, OFAC, and FATF rule changes across jurisdictions demands costly human review. Inconsistent screening creates regulatory gaps and slows global payout growth for B2B processors.
Policy Breaches by Large Clients
High-volume merchants quietly exceed contract limits, dispute ratios, or MCC rules. Without real-time alerts, processors inherit financial loss, scheme fines, and reputational damage.
Empower Your Security with FraudNet's Intelligent Solutions
Streamline compliance and fraud prevention for B2B payments, reducing risk and enhancing operational efficiency.
AI-Native Onboarding Screening
Instantly vets new businesses with multi-source data and risk scoring.
Real-Time Invoice Verification
OCR + AI match payable data to trusted vendor profiles before release.
Global Compliance Engine
Continuously screens every transaction against live sanctions and AML rules.
Adaptive Enterprise Monitoring
Learns client baselines, flags limit breaches, and auto-notifies teams.
Unified Fraud & Compliance Hub
FraudNet seamlessly integrates onboarding, transaction monitoring, and case management into a unified cloud platform, breaking down data silos. This provides B2B payment companies with a centralized, reliable source of truth to enhance efficiency, streamline operations, and boost decision-making accuracy.
Self-Optimizing AI Models
Our AI models continuously refine themselves using the latest consortium data, enhancing fraud detection accuracy while minimizing false positives. This ensures you can process more legitimate B2B transactions with reduced manual intervention, optimizing efficiency and boosting your bottom line.
Low-Code Workflow Builder
Effortlessly customize controls for each client segment with drag-and-drop rules, alerts, and escalation paths. Adapt swiftly to evolving regulations and rapidly deploy new payment corridors—all without the need for extensive IT resources, driving efficiency and compliance.
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 B2B payment AI fraud automation?
B2B payment AI fraud automation leverages artificial intelligence to detect and prevent fraudulent activities in business-to-business transactions. It uses machine learning algorithms to analyze transaction data in real-time, identifying patterns and anomalies that may indicate fraud. This automation helps businesses protect their financial operations by reducing the risk of fraud and ensuring secure transactions.
How does AI improve fraud detection in B2B payments?
AI enhances fraud detection by continuously learning from transaction data to identify new and evolving fraud patterns. It processes large volumes of data quickly, delivering real-time insights and flagging suspicious activities. AI models can adapt to changing fraud tactics, providing dynamic and proactive protection compared to traditional rule-based systems, which often struggle to keep up with sophisticated fraud techniques.
What are the benefits of using AI in fraud detection for B2B payments?
Using AI for fraud detection in B2B payments offers several benefits, including increased accuracy in identifying fraudulent transactions, reduced false positives, and faster response times. AI can handle large volumes of data, allowing for real-time analysis and decision-making. This leads to improved security, cost savings from reduced fraud losses, and enhanced customer trust, as businesses can assure clients of secure payment processes.
How does AI fraud automation integrate with existing B2B payment systems?
AI fraud automation integrates with existing B2B payment systems through APIs and other integration tools. It can be deployed as an additional layer on top of current payment infrastructures, enhancing their capabilities without requiring a complete overhaul. The integration process typically involves data mapping and configuration to ensure seamless communication between the AI system and the payment platforms, optimizing fraud detection processes.
What challenges might businesses face when implementing AI fraud automation?
Businesses may encounter challenges such as data privacy concerns, integration complexity, and the need for continuous system updates. Ensuring data integrity and compliance with regulations like GDPR is crucial. Additionally, businesses might face resistance from staff due to changes in workflows. Overcoming these challenges requires careful planning, investment in training, and collaboration with experienced vendors to ensure a smooth transition.
How can businesses measure the effectiveness of AI fraud solutions?
Businesses can measure the effectiveness of AI fraud solutions by tracking key performance indicators such as the reduction in fraud loss, the rate of false positives, and the speed of fraud detection. Regular audits and testing can help assess the system's accuracy and adaptability to new fraud trends. Feedback from users and stakeholders can also provide insights into the system's usability and impact on business operations.