Are You Struggling with These Critical Onboarding and Compliance Challenges?
Overcome onboarding hurdles and compliance complexities to protect your network, reduce fraud, and ensure regulatory peace of mind.
KYB Onboarding Risk
Shell companies slip into your network, making it hard to prove that controls reliably block bad actors during business onboarding audits.
Invoice and Vendor Fraud
Altered invoices, fake suppliers, and hijacked payment instructions inflate losses and challenge auditors seeking evidence of preventive controls.
Complex Cross-Border Compliance
Global AML, OFAC, and FATF rules change fast, so demonstrating continuous, well-documented control coverage drains staff and budgets.
Policy Breaches by Commercial Clients
High-volume merchants can exceed chargeback or refund thresholds unnoticed, obscuring whether your controls detect policy violations in real time.
FraudNet Solutions: Enhance Security & Compliance Effortlessly
Boost your B2B payment security and compliance with FraudNet’s seamless and proactive fraud prevention.
KYB Entity Screening
Verify ownership, sanctions, and legitimacy at onboarding.
Real-Time Transaction Scoring
Flag risky payments within milliseconds—no added latency.
Dynamic Policy Monitoring
Track chargeback, refund, and volume limits live.
Behavioral Anomaly Alerts
Spot deviations from each business’s normal patterns.
AI-Native Detection at Scale
FraudNet evaluates every ACH, wire, and card transaction instantly, minimizing fraud losses while providing B2B payment companies with reliable metrics that satisfy auditors. Enhance security and compliance seamlessly, ensuring your transactions are always safeguarded and audit-ready without added complexity.
Unified Case Management
Manage investigations, documentation, and reporting seamlessly from a single console. This unified approach not only creates a transparent evidence trail that meets regulatory demands but also optimizes team workflows, ensuring your B2B payment processes remain efficient and compliant.
Continuous Compliance Reporting
Automated dashboards seamlessly align your control performance with AML and OFAC mandates, providing clear evidence of effectiveness. Eliminate the hassle of manual spreadsheets and ad-hoc queries, ensuring compliance effortlessly and allowing your team to focus on strategic business growth.
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 invoice fraud, phishing attacks, business email compromise (BEC), identity theft, and account takeover. These tools use machine learning algorithms and rule-based systems to analyze transaction patterns and detect anomalies that may indicate fraudulent activities. By identifying these irregularities, businesses can take proactive measures to prevent or mitigate the impact of fraud.
How effective are machine learning models in detecting B2B payment fraud?
Machine learning models are highly effective in detecting B2B payment fraud as they can analyze vast amounts of transaction data in real-time and learn from historical patterns. These models continuously improve their detection capabilities by adapting to new fraud tactics. They provide a dynamic approach to identifying anomalies, making them more effective than traditional rule-based systems in recognizing sophisticated fraud schemes that evolve over time.
What role does employee training play in preventing B2B payment fraud?
Employee training is crucial in preventing B2B payment fraud as human error often contributes to successful fraud attempts. Training programs should focus on recognizing phishing attempts, understanding fraud indicators, and implementing best practices for secure transactions. Well-informed employees act as the first line of defense, reducing the likelihood of falling victim to social engineering attacks and ensuring that proper verification processes are followed.
How does multi-factor authentication enhance payment fraud control?
Multi-factor authentication (MFA) enhances payment fraud control by adding an extra layer of security beyond just passwords. MFA requires users to provide two or more verification factors, such as a password and a one-time code sent to a mobile device. This makes it significantly harder for fraudsters to gain unauthorized access to accounts, even if they have obtained login credentials, thereby reducing the risk of fraudulent transactions.
What metrics are important for evaluating the effectiveness of fraud control measures?
Key metrics for evaluating the effectiveness of fraud control measures include the fraud detection rate, false positive rate, time to detect fraud, and the financial impact of fraud incidents. Monitoring these metrics helps businesses assess how well their fraud prevention systems are performing, identify areas for improvement, and ensure that they are effectively minimizing both fraudulent activity and potential disruptions to legitimate transactions.
How can businesses stay updated on new fraud tactics and adapt their controls accordingly?
Businesses can stay updated on new fraud tactics by subscribing to industry newsletters, participating in forums and conferences, and collaborating with other organizations to share insights. Regularly reviewing and updating their fraud control strategies, investing in advanced technologies like AI and machine learning, and maintaining a flexible approach to security policies allow businesses to adapt to evolving threats and enhance their fraud prevention capabilities.