AUTOMATED MANAGEMENT OF UNDESIRED CODE USE BASED ON PREDICTED VALUATION AND RISK ANALYSIS

摘要

Automatically managing ameliorative process that controls undesired code use in an application based on predicted valuation and risk vectors. A multidimensional risk vectors may be received in relation to current and future use of undesired code. Amelioration actions may be classifies by using a custom trained machine learning model. An optimal amelioration action may be selected based on at least one optimization objective function. The selected amelioration action may be taken to control undesired code use in application. Examples of an amelioration action may include changing of the characteristics of a user interface and stopping an application or a component of the application from running.