Enhance security, streamline compliance, and boost efficiency with real-time fraud detection and intelligent automation for B2B payments.
Safeguard your network against hidden threats, ensuring secure transactions and protecting your reputation from costly risks.
Front companies and shell entities slip into your network, exposing you to fines, chargebacks, and reputational loss before the first payment ever clears.
Fraudsters alter invoices or register fake vendors, diverting large-value ACH and wire payments undetected amid high-volume B2B payout cycles.
Managing multi-jurisdiction AML, OFAC, and FATF rules drains resources and slows global expansion as manual checks pile up.
High-volume merchants quietly exceed chargeback, return, or velocity thresholds, creating downstream losses before traditional reports flag issues.
Protect your B2B payments from fraud, minimize risks, and ensure seamless transactions with FraudNet.
We don’t just promise better fraud control—we deliver tangible improvements that protect your business.
Approve more valid transactions confidently.
Experience double-digit reductions in fraud-related chargebacks
Save time and resources while securing your revenue.
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.
No-code rules engine, flexible dashboards, and tailor-made machine learning models that are designed to adapt seamlessly and scale alongside your business.
Unify fraud detection, compliance, and risk management into one powerful solution, saving valuable time and streamlining your operations.
Reduce false positives, detect and prevent more fraud, and mitigate risk with highly accurate, real-time risk scoring and anomaly detection you can trust.
Leverage advanced analytics, comprehensive reporting, and our Global Anti-Fraud Network to make faster, smarter decisions on the spot.
Detection software can identify various types of payment fraud, including invoice fraud, business email compromise (BEC), account takeover, phishing attacks, identity theft, and transaction laundering. It analyzes transaction patterns, user behavior, and various data points to detect anomalies and suspicious activities, helping B2B companies safeguard their payment processes from fraudulent activities.
Machine learning enhances fraud detection by analyzing vast amounts of transaction data to identify patterns and anomalies indicative of fraud. It learns from historical data to predict and adapt to new fraud tactics. For B2B payments, machine learning models can handle complex datasets, offering real-time analysis and reducing false positives, thus enabling faster and more accurate detection of fraudulent activities.
Multi-factor authentication (MFA) adds an extra layer of security by requiring users to provide two or more verification factors to access accounts. For B2B payments, MFA helps prevent unauthorized access and account takeovers, as it makes it harder for fraudsters to compromise accounts with just a stolen password. Implementing MFA reduces the risk of fraud by ensuring that only authorized users can approve transactions.
Businesses can ensure compliance by staying informed about relevant regulations such as PCI DSS, GDPR, and AML laws. Implementing robust fraud management systems that include regular audits, risk assessments, and employee training can help maintain compliance. Collaborating with legal advisors and using compliance-focused technologies ensures that B2B payment processes comply with industry standards and legislative requirements, reducing the risk of penalties and fraud.
An effective end-to-end fraud management strategy includes real-time transaction monitoring, risk assessment, and fraud detection technologies like machine learning and AI. It involves implementing strong authentication methods, continuous staff training, and maintaining compliance with regulations. Additionally, it requires collaboration between departments, incident response plans, and regular system updates to adapt to evolving fraud tactics in the B2B payment landscape.
A proactive approach to fraud management helps businesses detect and prevent fraudulent activities before they occur, minimizing financial losses and reputational damage. For B2B payments, this means implementing preventive measures like advanced analytics, continuous monitoring, and employee training. By staying ahead of potential threats and adapting to new fraud tactics, businesses can maintain trust with partners and customers, ensuring secure and efficient payment processes.