Protect your payments with AI-Native fraud detection, ensuring security, compliance, and seamless transactions in real-time.
Uncover hidden vulnerabilities and safeguard your revenue by addressing fraud, compliance, and operational inefficiencies in real-time payments.
Instant settlement gives analysts no buffer to flag anomalies, letting scammers move stolen funds before chargebacks or reversals are possible—directly impacting your net revenue.
Fraudsters hijack legitimate credentials or create convincing fake personas to pass KYC, drain linked cards, and mule funds across your rails, damaging brand trust and triggering losses.
Card-not-present fraud, promo abuse, and friendly fraud inflate dispute ratios, raising scheme fees and threatening acquirer relationships for payment providers.
PSD2, FedNow, FATF, and other regimes require region-specific controls; missing one mandate invites fines, remediation costs, and potential license restrictions.
Boost security and efficiency, minimize fraud losses, and enhance customer trust with FraudNet solutions.
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 credit card fraud, account takeover, phishing attacks, identity theft, and transaction laundering, among others. By analyzing transaction patterns and user behavior, these systems can flag suspicious activities, helping payment companies respond swiftly and mitigate potential losses.
Machine learning enhances fraud prevention by analyzing vast amounts of transactional data to identify patterns and anomalies indicative of fraudulent activity. It continuously learns from new data to improve detection accuracy, enabling payment companies to anticipate and prevent new fraud tactics. This proactive approach not only reduces false positives but also minimizes financial losses and enhances the customer experience.
Multi-factor authentication (MFA) significantly strengthens fraud prevention by requiring users to provide multiple forms of verification before accessing accounts. This additional layer of security makes it more challenging for fraudsters to gain unauthorized access, as they would need to compromise more than one authentication factor, such as something the user knows (password), has (phone), or is (biometric data).
Payment companies can balance fraud prevention with customer convenience by implementing seamless security measures that do not overly disrupt the user experience. This includes using advanced analytics to reduce false positives, employing user-friendly authentication processes, and personalizing fraud alerts. By doing so, companies can maintain robust security while ensuring a smooth and hassle-free payment process for customers.
Real-time transaction monitoring is crucial as it allows payment companies to detect and respond to fraudulent activities instantly. By continuously analyzing transactions as they occur, companies can identify suspicious patterns and take immediate action, such as blocking transactions or alerting customers. This rapid response is essential to prevent significant financial losses and to protect both the company and its customers from fraud.
Chargebacks occur when a customer disputes a transaction, often due to fraudulent activity, and the payment is reversed. They are a significant concern for payment companies as they can lead to financial losses and increased operational costs. Effective fraud prevention strategies, such as accurate transaction monitoring and robust authentication measures, can reduce the likelihood of chargebacks by deterring fraudulent transactions in the first place.