AI and machine learning capabilities improve fraud managementFor IBM Trusteer, one of the advantages is its AI and machine learning capabilities, which are very strong. The solution provides the ability to manage fraud in every session of a user, from login to logout of the user experience. It operates quickly and can intelligently cover a wide range of threats in the field. The Adaptive Authentication feature allows for frictionless operation for the user. Based on its AI intelligence and intelligence sets, it enables frictionless flow and only creates the need for further authentication based on what it has intelligently gathered about that session. Two different users will have different login experiences based on their history and behavioral analysis that tells the system whether to proceed with the transaction or pause it, protecting users from account takeovers or new account frauds. Integration is straightforward using JSON integration. It is easy to integrate with banking solutions or middleware solutions that financial institutions already have, both from the front end and back end. Whether it is a single-paged application or a multi-page application, there are different snippets and code bases for various types of integrations with back-end applications. IBM Trusteer captures customer ID and user ID at every session, enabling it to follow users through their journey through the banking application. It has its own real-time dashboard that allows fraud analysts to quickly make decisions about ongoing activities and determine whether to deny or allow transactions. It protects sensitive information of users through session and transaction-based monitoring, capturing CSID, customer ID, and user ID, enabling analysts to take swift, real-time action.
