Protect assets and reputation by detecting fraud in real-time, improving onboarding, and gaining full merchant activity visibility.
Transform payment challenges into opportunities with proactive risk management, streamlined operations, and enhanced fraud prevention for acquirers.
Rising chargebacks and card-brand fines cut into interchange income and tarnish your acquiring reputation, yet manual post-dispute reviews make it hard to react quickly or spot systemic merchant abuse.
Without instant KYB insight, you may unknowingly board shell companies, illegal storefronts, or sanctioned entities—inviting fraud losses, AML violations, and costly regulatory remediation.
Card-not-present fraud propagates across hundreds of merchants in seconds. Disparate systems delay detection, letting bad actors monetize stolen cards and inflating network fraud ratios.
Siloed data hides early red flags such as refund spikes, traffic anomalies, or sudden MCC shifts, preventing proactive enforcement and exposing the portfolio to cascading losses.
Empower acquirers with seamless fraud prevention, risk management, and instant insights to safeguard your portfolio.
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 fraud investigation involves analyzing and detecting fraudulent activities related to payment processing within the acquiring bank's network. This can include identifying suspicious transactions, merchant fraud, or illegal activities like transaction laundering. The goal is to protect both the financial institution and its customers by mitigating risks, ensuring compliance with regulations, and maintaining the integrity of the payment ecosystem.
Acquirers can detect fraudulent transactions through a combination of advanced analytics, machine learning, and real-time monitoring. These tools help identify unusual patterns, such as sudden spikes in transaction volume, mismatched geolocation data, or inconsistent spending behaviors. Additionally, acquirers can employ rule-based systems and risk scoring models to flag potentially fraudulent activities for further investigation by their fraud prevention teams.
Chargebacks are a critical component in acquirer fraud investigation. They occur when a cardholder disputes a transaction, prompting the acquirer to investigate the legitimacy of the claim. Frequent chargebacks can indicate potential fraud or issues with a merchant's operations. By analyzing chargeback patterns and reasons, acquirers can identify problematic merchants or fraudulent schemes, enabling them to take corrective actions and prevent future losses.
Acquirers collaborate with various entities, such as issuing banks, payment networks, law enforcement, and fraud prevention organizations, to combat fraud. This collaboration involves sharing information on emerging fraud trends, participating in industry-wide initiatives, and adopting standardized protocols for fraud detection and reporting. By working together, these entities can enhance their collective ability to identify and prevent fraudulent activities more effectively.
Acquirer fraud investigations commonly utilize technologies like machine learning, artificial intelligence, and data analytics to enhance fraud detection capabilities. These technologies help analyze vast amounts of transaction data in real-time, identify anomalies, and predict potential fraud risks. Additionally, advanced authentication methods, such as biometric verification and tokenization, are employed to secure transactions and reduce the likelihood of fraud.
Regulatory requirements for acquirer fraud investigations can vary by region but generally include adherence to standards like PCI DSS (Payment Card Industry Data Security Standard) and compliance with anti-money laundering (AML) regulations. Acquirers must implement robust fraud monitoring systems, maintain accurate records, and report suspicious activities to relevant authorities. Ensuring compliance not only helps prevent fraud but also protects the acquirer from potential legal and financial repercussions.