US Patent 11373189 Self-learning online multi-layer method for unsupervised risk assessment

A method of protecting a computer system from fraudulent use includes collecting and aggregating sets of risk predictor values for user-initiated events into user-specific aggregations and organization-wide aggregations, and in response to a current event initiated by a user, generating a risk indicator as a combination of a user-specific indicator and an organization-wide indicator based on current event parameters and the user-specific and organization-wide aggregations. Based on the risk indicator indicating that the current event may be a fraudulent use, a protective control action is taken (such as denying or modifying a requested access) to protect the computer system.