Stay ahead of evolving fraud tactics with AI-driven solutions for real-time detection, enhanced security, and operational efficiency.
Stay ahead of fraudsters with adaptive solutions that protect your cardholders and reduce charge-offs, safeguarding your reputation.
Fraud rings now use AI, deepfakes, and botnet automation to evade static rules. Issuers struggle to update models quickly enough, exposing portfolios to rising charge-offs and undermining cardholder trust.
Criminals stitch real and fake data to open card accounts that look legitimate on paper. Because repayment histories appear perfect until limits peak, issuers absorb large ‘bust-out’ losses when the identities vanish.
Phishing, credential stuffing, and SIM swaps let attackers hijack customer logins, change contact details, and spend or cash-out quickly. Reimbursement costs and reputational damage escalate for the issuing bank.
Keeping pace with PSD2 SCA, AML/KYC, and CFPB dispute timelines strains operations. Manual evidence gathering and reporting divert resources from growth and heighten the risk of regulatory penalties.
FraudNet empowers issuers with proactive fraud prevention, safeguarding portfolios and enhancing cardholder trust seamlessly.
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.
Issuers need to stay vigilant against evolving fraud tactics such as synthetic identity fraud, where fraudsters create fake identities using real and fabricated information. Other tactics include account takeover through phishing or malware attacks, and card-not-present fraud, which has increased with the rise of online shopping. Issuers should also watch for transaction laundering, where illicit transactions are hidden within legitimate purchases.
Issuers can utilize AI and machine learning to enhance fraud detection by analyzing vast amounts of transaction data in real-time. AI systems can identify patterns and anomalies that may indicate fraudulent activity, allowing issuers to respond quickly. By continuously learning from new data, these systems can adapt to emerging fraud tactics and improve accuracy over time, reducing false positives and focusing on genuine threats.
Data analytics plays a crucial role in fraud detection by enabling issuers to analyze transaction data for unusual patterns or behaviors. Advanced analytics can help identify potential fraud by flagging transactions that deviate from a customer's normal spending habits. By using predictive analytics, issuers can assess the likelihood of fraud and prioritize cases for investigation, ultimately improving the efficiency of their fraud detection efforts.
Issuers can educate their customers by providing resources on recognizing phishing attempts, maintaining strong passwords, and securing personal information. Regular communication, such as newsletters or alerts, can inform customers about the latest scams and protective measures. Additionally, issuers can offer tools like two-factor authentication and transaction alerts to help customers monitor their accounts and respond swiftly to suspicious activities.
Real-time transaction monitoring allows issuers to identify and respond to potential fraud as it happens, significantly reducing the risk of loss. By analyzing transactions in real-time, issuers can immediately flag suspicious activities for further investigation or block them outright. This proactive approach helps prevent fraudulent transactions from being completed, protecting both the issuers and their customers from financial harm.
Issuers can balance fraud prevention with a seamless customer experience by implementing advanced fraud detection systems that minimize false positives and reduce unnecessary transaction declines. Using machine learning models, issuers can accurately assess risk without disrupting legitimate transactions. Providing customers with easy-to-use security features, such as mobile alerts and biometric authentication, can enhance security while maintaining convenience. Clear communication about security measures also reassures customers, fostering trust and loyalty.