Enhance fraud detection, ensure compliance, and reduce risk with seamless integration and advanced AI-powered solutions tailored for acquirers.
Streamline fraud detection and compliance, reduce chargebacks, and protect your brand with efficient, unified risk management solutions.
Fraudsters quickly pivot tactics, yet many acquirers still rely on static rules that miss multi-channel, coordinated attacks, exposing portfolios to chargebacks and brand damage.
Disparate gateways, CRM tools, and home-grown risk engines make it hard for acquirers to deploy a single view of risk, slowing response times and driving up IT spend.
PCI DSS v4.0, PSD2, and card-network programs demand granular reporting and audit trails; manual processes leave acquirers vulnerable to fines and reputational harm.
Round-the-clock coverage is costly; understaffed teams struggle to investigate alerts in real time, letting fraudulent transactions slip through and eroding merchant trust.
Streamline risk management and compliance effortlessly, safeguarding portfolios while boosting merchant trust and revenue.
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 tools help acquirers detect anomalies that might indicate fraudulent activity, allowing them to take preventive measures swiftly.
Machine learning enhances fraud detection by enabling systems to learn from historical data and adapt to new fraudulent patterns without human intervention. It helps acquirers by continuously improving the accuracy of detecting fraudulent activities through pattern recognition and anomaly detection. This capability allows acquirers to identify and block suspicious transactions more effectively and reduce false positives over time.
Real-time monitoring is crucial because it allows acquirers to detect and respond to fraudulent activities as they happen. This immediate response capability helps minimize financial losses and protects cardholders and merchants from further fraudulent attempts. Real-time systems can instantly flag suspicious transactions, enabling quick decisions on whether to approve or decline them, thus maintaining the security and integrity of the payment ecosystem.
Data encryption plays a vital role by ensuring that sensitive information, such as cardholder details and transaction data, is securely transmitted and stored. For acquirers, encryption protects against unauthorized access and data breaches, which are common targets during fraudulent activities. Implementing strong encryption protocols helps maintain customer trust and comply with industry regulations like PCI DSS, which require stringent data protection measures.
Acquirers can ensure compliance by using fraud tools designed to meet regulatory standards like PCI DSS, GDPR, and PSD2. These tools often come with built-in compliance features, such as secure data handling, transaction monitoring, and reporting capabilities, which help acquirers adhere to legal requirements. Regular audits and updates to the fraud detection systems also ensure ongoing compliance and adaptation to new regulatory changes.
Key features include real-time transaction monitoring, machine learning capabilities, customizable rule engines, comprehensive reporting tools, integration flexibility, and strong data security measures. Acquirers should also look for systems that offer high scalability to handle varying transaction volumes and advanced analytics for insightful fraud pattern analysis. Choosing a system with these features ensures robust fraud prevention and adaptability to emerging threats.