Is Your Fraud Detection System Creating More Problems Than It Solves?
Streamline your fraud detection process to minimize delays, cut costs, and enhance accuracy for seamless B2B payment operations.
Manual, Labor-Intensive Reviews
Human investigators sift through spreadsheets and emails to validate B2B transactions, creating bottlenecks that delay payouts, inflate staffing costs, and leave limited time to hunt sophisticated fraud.
Fragmented Data Across Systems
Payment, ERP, and banking platforms rarely talk to each other, hiding cross-channel signals and forcing analysts to toggle between dashboards—missing multi-step fraud that spans entities or geographies.
High False-Positive Rates
Rigid rules flag a large share of legitimate invoices or supplier payments, disrupting cash flow, frustrating trusted partners, and wasting resources on needless investigations.
Rapidly Evolving Fraud Tactics
AI-driven bots, deep-fake vendors, and mule accounts mutate faster than static rule sets, making it hard for B2B payment teams to stay ahead without continuous model refresh.
Transform Fraud Defense with FraudNet's Cutting-Edge Solutions
Optimize your B2B payment process with FraudNet, reducing fraud, costs, and operational inefficiencies.
AI-Native Real-Time Scoring
Scores each payment in milliseconds, stopping fraud pre-settlement.
Unified Data & Case Hub
Aggregates multi-source data and investigations in one console.
Adaptive ML Rule Engine
Self-learns from outcomes to cut false positives every cycle.
Collaborative Global Intelligence
Shares threat signals across the FraudNet network instantly.
End-to-End Workflow Automation
Streamline your payment fraud investigations by orchestrating intake, scoring, case creation, and resolution from one unified platform. Eliminate inefficient manual processes and reduce investigation times by up to 70%, allowing your team to focus on strategic fraud prevention.
Precision Decisioning
Harness the power of dynamic AI models that integrate your proprietary data with FraudNet's global intelligence. This synergy slashes false positives by over 40%, enabling you to detect emerging fraud schemes that are often overlooked by traditional static rules.
Embedded Compliance & Audit Trails
Stay ahead of regulatory demands with automated evidence capture and time-stamped actions. Our built-in compliance features streamline audit processes, drastically cutting preparation costs and reducing the risk of penalties, so your B2B payments stay smooth and stress-free.
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
Speak with our Solutions Expert Today
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Recognized by Industry Analysts
Related Resources
Other Services
FAQs
What are the initial steps in a B2B payment fraud investigation workflow?
The initial steps typically involve the identification and reporting of suspicious transactions. This can be followed by gathering transaction data, verifying account details, and cross-referencing them with known fraud patterns. Once potential fraud is flagged, a preliminary risk assessment is conducted to determine the severity and scope of the issue, setting the stage for a more detailed investigation.
How does machine learning enhance fraud detection in B2B payment workflows?
Machine learning enhances fraud detection by analyzing vast amounts of transaction data to identify anomalies and patterns indicative of fraudulent activity. It can adapt to new fraud tactics by learning from historical data, thereby improving accuracy over time. Machine learning models can also prioritize alerts based on risk levels, helping investigators focus on the most critical threats and streamline the investigation process.
What role does data analysis play in B2B payment fraud investigations?
Data analysis is crucial for identifying patterns and anomalies that may indicate fraudulent activity. By examining transaction history, payment methods, and customer behavior, investigators can pinpoint irregularities and potential fraud. Advanced analytics tools help in correlating data from multiple sources, enabling a comprehensive view of fraudulent trends and facilitating quicker and more effective investigation and resolution of fraud cases.
How can companies ensure compliance during a B2B payment fraud investigation?
To ensure compliance, companies should adhere to legal, regulatory, and industry standards throughout the investigation process. This includes maintaining accurate records, following established protocols for data privacy and security, and conducting investigations transparently. Regular training for staff on compliance requirements and periodic audits of investigation processes can also help companies maintain adherence to relevant regulations.
What technologies are commonly used in B2B payment fraud investigation workflows?
Common technologies include machine learning algorithms, data analytics platforms, artificial intelligence, blockchain for secure data sharing, and automated alert systems. These technologies help in real-time monitoring, identifying suspicious activities, and streamlining the investigation process. Additionally, integration with other systems like ERP and CRM platforms can provide a holistic view of transactions and enhance investigative capabilities.
How do companies measure the effectiveness of their fraud investigation workflows?
Companies measure effectiveness by evaluating metrics such as the rate of fraud detection, false positives, time taken to resolve cases, and financial losses prevented. Regular assessment of these metrics helps identify areas for improvement. Continuous refinement of detection algorithms and workflows, combined with feedback from investigation teams, ensures that the system remains adaptive to evolving fraud tactics and maintains high efficiency.