Enhance fraud detection, reduce chargeback risks, and streamline KYB processes for seamless, secure high-volume transactions.
Streamline merchant oversight, reduce chargeback risks, speed up KYB processes, and gain instant risk insights to safeguard your business.
Large, fast-growing portfolios make it hard for PSPs to spot high-risk merchants early, leaving gaps that criminals exploit and regulators scrutinize.
Surges in disputes can breach card-network thresholds, trigger fines, drain reserves, and erode PSP credibility with acquirers and merchants alike.
Spreadsheet-driven onboarding slows growth, misses hidden ownership links, and increases compliance failures as application volumes spike.
Disparate systems delay insight into transaction anomalies, preventing PSP teams from acting before fraud losses and regulatory findings mount.
Streamline risk management and boost compliance, safeguarding your payment processing operations 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.
High-volume transaction fraud involves unauthorized or fraudulent transactions carried out in large quantities within a short period. For Payment Service Providers (PSPs), this poses a significant risk as it can lead to financial losses, reputational damage, and regulatory penalties. Fraudsters often use automated tools or bots to execute these transactions, exploiting vulnerabilities in the payment processing system to bypass security measures.
PSPs can detect high-volume transaction fraud by implementing advanced fraud detection systems that use machine learning and artificial intelligence to analyze transaction patterns. These systems flag anomalies that deviate from normal transaction behavior. Additionally, real-time monitoring, velocity checks, and setting up transaction limits can help identify and mitigate suspicious activities. Collaborating with fraud prevention services and maintaining updated threat intelligence are also crucial strategies.
Common indicators include a sudden spike in transaction volumes, multiple transactions from the same IP address or device, irregular transaction patterns, and a high number of declined transactions. Other signs may involve unusual geographic locations for transactions, frequent small transactions that sum up to significant amounts, and attempts to use multiple payment methods or accounts. Keeping an eye on these indicators helps PSPs to quickly identify and respond to potential fraud.
Fraudsters often use automated scripts or bots to carry out high-volume transaction fraud, exploiting compromised card details or account credentials. They may employ tactics such as card testing, where they make small purchases to verify card validity before executing larger fraudulent transactions. Additionally, they might use sophisticated phishing schemes to harvest credentials or leverage dark web data to orchestrate large-scale attacks. Their goal is to overwhelm the PSP's defenses to slip through undetected.
PSPs can implement several preventive measures, such as deploying multi-layered security protocols, including two-factor authentication and tokenization. Regularly updating and patching systems to fix vulnerabilities is crucial. Additionally, educating merchants and customers about security practices, conducting regular risk assessments, and establishing a clear fraud response plan can significantly enhance defenses. Collaborating with industry peers and law enforcement for shared intelligence also strengthens overall security posture.
Machine learning and AI play a pivotal role in combating high-volume transaction fraud by enabling PSPs to analyze vast amounts of transaction data in real-time. These technologies identify patterns and anomalies that might indicate fraudulent behavior, allowing for faster and more accurate detection. AI models continuously learn from new data, improving their predictive capabilities over time. This adaptability helps PSPs to stay ahead of evolving fraud tactics and reduce false positives, ensuring legitimate transactions are not unnecessarily blocked.