Mesh Reviews

Identify and prevent the establishment of fraudulent user accounts, effectively thwarting those who seek to exploit loyalty programs. By cross-referencing customer information with reliable data sources, organizations can enhance their confidence in evaluating risks. Combat payment fraud by making precise risk decisions at every stage of the transaction process, whether before, during, or after authorization. Streamline the authorization process to minimize customer friction during transactions. Utilizing advanced data science and machine learning techniques, the Ekata Identity Engine integrates two unique datasets: the Ekata Identity Graph and the Ekata Identity Network. These datasets focus on fundamental identity attributes, which are transformed into insights that empower businesses to make informed risk assessments regarding their clientele. By confirming a greater number of legitimate interactions, companies can effectively expand and maintain their customer base. Additionally, by capturing more instances of fraud, businesses can safeguard their financial interests. Rapid risk evaluations allow for the approval of more legitimate transactions, ensuring that fraudulent activities are blocked while simultaneously welcoming more trustworthy customers into the fold. Ultimately, this approach not only strengthens security measures but also enhances customer satisfaction and loyalty.