Are You Struggling with These Major Financial Compliance Challenges?
Enhance security and streamline compliance to protect your business from fraud, fines, and reputational harm while reducing costs.
KYB Onboarding Risk
Fraudulent shell companies slip through onboarding, exposing you to chargebacks, fines, and reputational damage while increasing manual verification costs.
Invoice & Vendor Fraud
Fake or manipulated invoices, diverted payout accounts, and rogue vendor setups drain working capital and strain client relationships.
Cross-Border Compliance Burden
Navigating divergent AML, OFAC, and FATF rules across markets demands costly staff, slows expansion, and risks regulatory penalties.
Undetected Policy Breaches
High-volume clients can exceed chargeback or transaction limits unnoticed, creating sudden losses and triggering processor sanctions.
Empower Your Defense with FraudNet's Advanced Solutions
Streamline compliance, reduce fraud risk, and enhance transaction security for B2B payment companies with ease.
KYB Entity Screening
Instant KYB checks validate ownership, licensing, sanctions in one API.
Millisecond Transaction Scoring
Sub-millisecond scoring flags suspect payments without slowing throughput.
Real-Time Policy Monitoring
Live threshold tracking auto-alerts breaches on chargebacks or volumes.
Anomaly Detection
ML finds anomalies against entity baselines to surface hidden fraud.
High Accuracy at Low Cost
FraudNet’s AI-driven models slash false positives by 70%, empowering B2B payment companies to efficiently block fraud with minimal manual intervention, reducing operational costs and enhancing overall profitability. Streamline your fraud detection while safeguarding your bottom line with precision and ease.
Unified, Scalable Platform
Our unified cloud platform seamlessly integrates screening, monitoring, and case management, optimizing your workflows. Effortlessly scale with your transaction growth, ensuring robust fraud protection and compliance without the complexity. Boost efficiency and focus on expanding your B2B payment solutions with confidence.
Built-In Compliance & Trust
Streamline compliance with automated audit trails and comprehensive global watchlist coverage. Meet AML and sanctions mandates effortlessly, boosting client trust and accelerating your market entry. Empower your business to navigate complex regulations with confidence and focus on growth, not red tape.
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 types of payment fraud can detection software identify?
Detection software can identify various types of payment fraud, including business email compromise, invoice fraud, account takeover, phishing attacks, identity theft, and transaction laundering. Advanced systems leverage machine learning and AI to detect anomalies in transaction patterns, flagging suspicious activities for review. By monitoring real-time and historical transaction data, these systems can help B2B companies mitigate risks and prevent financial losses.
How does fraud detection software work in B2B payments?
Fraud detection software in B2B payments typically employs machine learning algorithms and data analytics to monitor transaction patterns and identify anomalies. It integrates with payment systems to analyze real-time data, scoring transactions based on risk factors. By using historical data, it establishes baseline behaviors and flags deviations for further investigation. This proactive approach helps businesses detect and prevent fraud before it causes significant financial harm.
What are the cost benefits of using fraud detection software in B2B payments?
Using fraud detection software in B2B payments can significantly reduce financial losses due to fraudulent activities. By automating the detection process, businesses save time and resources compared to manual monitoring and investigations. Early detection prevents potential financial damage, legal fees, and reputational harm. Additionally, the scalability of software solutions allows businesses to handle growing transaction volumes without proportionally increasing costs, providing cost-effective protection.
How do machine learning models improve fraud detection in B2B payments?
Machine learning models improve fraud detection by continuously learning from new data to enhance the accuracy of identifying fraudulent transactions. They analyze vast datasets to identify patterns and anomalies that may indicate fraud. These models adapt to evolving fraud tactics, reducing false positives and improving detection rates. For B2B payment companies, this means more reliable protection against fraud, minimizing disruptions to legitimate transactions and optimizing operational efficiency.
Can fraud detection software integrate with existing B2B payment systems?
Yes, most fraud detection software solutions are designed to integrate seamlessly with existing B2B payment systems. They offer APIs and other integration tools that allow businesses to incorporate fraud detection capabilities into their current workflows without significant disruptions. This integration enables real-time monitoring and analysis of transactions, enhancing security and providing a streamlined experience for businesses looking to protect themselves from fraud.
What are the key features to look for in a fraud detection solution for B2B payments?
Key features to look for include real-time transaction monitoring, machine learning capabilities, comprehensive reporting tools, and high configurability to meet specific business needs. The solution should offer seamless integration with existing systems, support multiple payment methods, and provide a user-friendly interface. Additionally, robust customer support and regular updates are crucial to adapt to evolving fraud trends and ensure continuous protection for B2B transactions.