Are You Struggling with These B2B Payment Challenges?
Enhance your B2B payment processes by tackling fraud, compliance complexity, detection delays, and manual inefficiencies for seamless transactions.
High Exposure To Fraudulent Counterparties
Weak KYB and onboarding gaps let shell vendors enter B2B payment networks, causing charge-offs, lost goods, and reputational harm when payments are recalled or never fulfilled.
Complex Cross-Border Compliance Burden
Navigating multi-jurisdiction AML, OFAC, and FATF rules strains staff and budget; missed watch-list hits lead to regulatory fines that quickly outstrip thin B2B transaction margins.
Delayed Detection And Excessive False Positives
Batch-based tools flag threats hours later and over-block large-value invoices, disrupting supplier cash-flow and damaging client trust when legitimate payments are repeatedly declined.
Manual Review Overhead And Siloed Workflows
Analysts swivel between ERP, bank portals, and spreadsheets to confirm anomalies, slowing response times, inflating operating costs, and preventing scale during quarter-end volume spikes.
FraudNet: Instantly Combat Fraud with Smart Solutions
Enhance security, streamline compliance, and boost efficiency in B2B payments with FraudNet's advanced solutions.
Real-Time Transaction Monitoring
Score every payment in milliseconds, block fraud instantly.
Adaptive No-Code Rule Builder
Update risk logic on the fly—no dev sprint required.
ML-Powered Risk Scoring
Continuously learns from data to cut false positives.
Unified Case Management
Automates reviews, evidence gathering, and audit trails.
AI-Native Dynamic Detection
FraudNet vigilantly monitors every B2B transaction in real-time, leveraging advanced rules and machine learning to identify and prevent shell companies, mule accounts, and invoice manipulations. Protect your payments before they exit your ledger, ensuring secure and seamless cross-border transactions.
Self-Service Rule Orchestration
Empower your risk team with intuitive drag-and-drop rule orchestration. Launch, test, and refine fraud detection strategies without coding, enabling rapid responses to evolving threats in minutes. Stay ahead of fraudsters and safeguard your transactions without waiting for development cycles.
Lower False Positives, Higher Trust
Enhance your payment network's efficiency with precision scoring that slashes unnecessary holds by up to 60%. Ensure seamless supplier transactions and empower your analysts to concentrate on genuinely high-risk cases, optimizing operations and enhancing trust in every B2B transaction.
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 are adaptive fraud rules in B2B payments?
Adaptive fraud rules in B2B payments are dynamic guidelines that adjust in real-time based on emerging patterns and behaviors. Unlike static rules, which require manual updates, adaptive rules leverage machine learning and AI to evolve as new threats emerge. This approach enhances the ability of businesses to detect and prevent fraud by continuously analyzing transaction data, identifying anomalies, and updating security protocols automatically to mitigate risks.
How do adaptive fraud rules differ from traditional fraud detection methods?
Traditional fraud detection methods rely on static rules and manual updates, making them less effective against evolving threats. Adaptive fraud rules, on the other hand, use machine learning algorithms to dynamically adjust to new fraud patterns. This real-time adaptability allows them to detect sophisticated schemes and anomalies that traditional methods might miss, providing a more robust and responsive defense against fraud in B2B payment systems.
Why are adaptive fraud rules important for B2B transactions?
Adaptive fraud rules are crucial for B2B transactions due to the high volume and value of these transactions, which make them attractive targets for fraudsters. These rules enhance security by continuously learning from transaction data and adapting to new fraud tactics. This proactive approach minimizes the risk of financial loss, protects business relationships, and ensures compliance with regulatory standards, thereby maintaining trust and integrity in the B2B payment ecosystem.
How can machine learning enhance adaptive fraud rule systems?
Machine learning enhances adaptive fraud rule systems by enabling them to analyze vast amounts of transaction data swiftly and accurately. It identifies patterns and anomalies that might indicate fraudulent activity, adapting to new threats without human intervention. This capability not only improves detection rates but also reduces false positives, ensuring legitimate transactions are processed smoothly. Over time, the system becomes more refined, providing stronger protection against evolving fraud tactics in B2B payments.
What are the challenges in implementing adaptive fraud rules in B2B payments?
Implementing adaptive fraud rules in B2B payments presents challenges such as data privacy concerns, the need for high-quality data inputs, and the complexity of integrating these systems with existing financial infrastructures. Ensuring compliance with industry regulations and gaining stakeholder trust are also critical hurdles. Additionally, maintaining the balance between fraud detection and minimizing false positives requires sophisticated algorithm tuning and continuous monitoring to prevent disruption in legitimate business processes.
How do adaptive fraud rules impact customer experience in B2B payments?
Adaptive fraud rules positively impact customer experience by enhancing security without hindering transaction efficiency. By reducing false positives, these systems ensure legitimate transactions are processed quickly, minimizing disruptions. This seamless experience builds trust and confidence among B2B partners. Additionally, the proactive nature of adaptive rules protects sensitive financial information, further enhancing the reputation of businesses as secure and reliable partners in the payment ecosystem.