What types of fraud does Subuno detect?

Subuno is a comprehensive fraud detection platform that focuses on identifying and mitigating various types of online fraud. The platform employs advanced algorithms and machine learning techniques to analyze transactional data and user behavior. As a result, it detects different forms of fraudulent activities that businesses may encounter. One primary type of fraud that Subuno addresses is payment fraud, which includes fraudulent credit card transactions and account takeovers. By scrutinizing patterns and behaviors associated with transactions, Subuno can help organizations determine whether a transaction is legitimate or potentially harmful. Another area of focus for Subuno is identity fraud. This category encompasses scenarios where fraudsters impersonate legitimate users to gain access to sensitive information or make unauthorized purchases. Subuno uses various data points to assess the authenticity of user identities and flag any inconsistencies that may raise suspicion. Subuno also tackles chargeback fraud, commonly known as "friendly fraud," where customers falsely claim that they did not authorize a transaction. The platform's analytical tools help businesses identify risky transactions before they escalate into chargebacks, which can affect a company's reputation and financial standing. Additionally, Subuno is equipped to detect fraudulent account creation, where attackers use stolen information to set up fake accounts for malicious activities. By monitoring sign-up patterns and user behavior, Subuno can identify suspicious activities and prevent such accounts from being established. Overall, Subuno offers a robust solution for detecting various types of online fraud, allowing businesses to protect themselves and their customers effectively. For more specific information related to their services, it may be helpful to explore their current web page.