Accelerate fraud investigations with AI-driven precision, enhancing security, operational efficiency, and customer trust for issuers.
Streamline fraud management to cut costs, speed decisions, and enhance customer trust with integrated, efficient solutions.
Issuer analysts juggle multiple legacy tools and spreadsheets, slowing triage, extending decision times, and driving overtime costs during volume spikes.
High chargeback queues, fragmented evidence, and strict Reg E / Reg Z clocks expose issuers to write-offs, fines, and customer churn.
Delayed, batch-based models miss in-flight anomalies, letting fraudulent authorizations clear and inflating loss recovery workloads.
Issuer fraud, credit, and customer-service data live in separate stacks, limiting threat visibility and hampering coordinated responses.
Boost efficiency and security: streamline fraud management, reduce losses, and enhance customer satisfaction for issuers.
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.
Issuer fraud investigation involves examining suspicious or unauthorized activities associated with payment cards or accounts issued by financial institutions. This process is designed to detect, prevent, and mitigate fraudulent activities, ensuring the safety and security of both the issuer and the cardholder. The investigation may include analyzing transaction patterns, verifying account information, and collaborating with law enforcement or other stakeholders to resolve fraud cases.
Issuers detect potential fraud by using advanced fraud detection systems that leverage machine learning, artificial intelligence, and data analytics. These systems analyze transaction patterns, customer behavior, and historical data to identify anomalies or unusual activities. Additionally, issuers may employ rules-based systems, real-time alerts, and manual reviews to further enhance their fraud detection capabilities and minimize false positives.
Data analysis plays a crucial role in fraud investigation by enabling issuers to identify patterns and trends that may indicate fraudulent activities. Through data mining and analytics, issuers can scrutinize large volumes of transaction data, uncover hidden relationships, and predict potential fraud scenarios. By leveraging statistical models and algorithms, data analysis helps in detecting anomalies, assessing risk, and making informed decisions to prevent and address fraud effectively.
Common red flags in issuer fraud investigation include unusual transaction volumes or frequencies, transactions in high-risk geographic locations, multiple transactions from different locations in a short period, mismatched billing and shipping addresses, and repeated declined transactions. Other indicators are sudden changes in account behavior, use of suspicious or flagged devices, and transactions that do not align with the customer's typical spending patterns.
Once fraud is confirmed, issuers typically take several steps to address it. They may block or close the affected account to prevent further unauthorized transactions, issue a new card or account number to the cardholder, and work with them to identify and reverse fraudulent charges. Additionally, issuers often collaborate with law enforcement to investigate and prosecute fraudsters. Education on fraud prevention and monitoring is also provided to cardholders to reduce future risks.
Issuers can implement multiple measures to prevent fraud, such as deploying robust fraud detection systems, regularly updating security protocols, and employing multi-factor authentication for transactions. Additionally, educating customers about fraud prevention, monitoring accounts for unusual activities, and collaborating with other financial institutions and law enforcement agencies can enhance fraud prevention efforts. Keeping abreast of the latest fraud trends and continuously refining fraud detection strategies are also essential in staying ahead of fraudsters.