SYSTEMS AND METHODS FOR SMART VERIFICATION

原文（中国語）

Systems and methods for silent verification of entities accessing a service are disclosed. One method may include receiving a first input identifying an entity engaged in a flow for accessing a service and utilizing the information to evaluate a risk score of the entity using a machine learning (ML) model. The machine learning model takes as input associations of the entity that are based on an access history of the entity for a second service that is stored in the server, and a type of access to the service. The method then determines a second input using the risk score of the entity as an input to an ML model. The second input is later transmitted to the service to update the flow to access the service.