Reduce risk, prevent fraud, and enhance compliance with real-time insights and advanced AI-native solutions tailored for acquirers.
Uncover hidden risks instantly to protect profits, ensure compliance, and enhance decision-making for safer merchant relationships.
Escalating chargeback rates leave acquirers liable for network fines, reserve hikes, and lost interchange. Legacy monthly reports surface problems too late to enforce corrective measures.
Without instant KYB verification, acquirers may board merchants tied to fraud, illicit goods, or sanctions, creating financial, compliance, and reputational threats that are costly to unwind.
Card-present and CNP fraud can surge across thousands of merchants within minutes. Disparate data silos prevent acquirers from spotting cross-portfolio patterns before losses multiply.
Acquirers often rely on fragmented statements for insight. Limited real-time data masks spikes in refunds, declines, or bot activity, delaying proactive risk interventions.
Fraudnet empowers acquirers to detect and mitigate risks in real-time, minimizing financial and reputational losses.
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.
Acquirer merchant risk scoring is a process used by acquiring banks or payment processors to evaluate the potential risk associated with onboarding and maintaining merchant accounts. This involves assessing factors like the merchant's business model, transaction history, financial health, previous chargebacks, and compliance with industry standards to determine the likelihood of fraud or financial loss.
Merchant risk scoring is crucial for acquirers as it helps in identifying potential risks early, ensuring they can take preventive measures to mitigate fraud and financial loss. By accurately assessing risk levels, acquirers can make informed decisions about which merchants to onboard, set appropriate transaction limits, and determine the level of ongoing monitoring required to maintain the integrity of their payment processing ecosystem.
Merchant risk scoring typically considers several factors, including the merchant's industry type (MCC code), transaction volume, chargeback ratio, credit history, length of time in business, compliance with PCI DSS standards, and any previous incidents of fraud or suspicious activity. These factors help acquirers assess the likelihood of a merchant engaging in fraudulent activities or posing financial risks.
Acquirers can mitigate risks by implementing stricter onboarding processes, requiring more detailed documentation, setting transaction limits, and conducting regular monitoring and reviews of high-risk merchants. Utilizing advanced fraud detection tools and technologies can also help identify suspicious activities in real-time, allowing acquirers to take swift action to prevent fraud and financial losses.
Technology plays a significant role in merchant risk scoring by enabling automated assessments and real-time monitoring. Advanced analytics, machine learning, and artificial intelligence are used to analyze vast amounts of data to predict risk levels accurately. These technologies help acquirers efficiently identify patterns and anomalies that might indicate fraudulent activity, thus improving the accuracy and reliability of risk scoring models.
Acquirers should regularly review and update their merchant risk scoring models to ensure they remain effective and relevant in a constantly evolving risk landscape. This typically involves periodic assessments, which could be quarterly or semi-annually, to incorporate new data, emerging fraud trends, and technological advancements. Regular updates help maintain the accuracy of risk assessments and ensure that acquirers can respond promptly to new threats.