公开(公告)号：US20220198322A1

公开(公告)日：2022-06-23

申请号：US17130867

申请日：2020-12-22

Applicant: Oracle International Corporation

Inventor： Leonid Kuperman ,  Ramakrishna Raju Uppalapati ,  Prakash Yamuna ,  Vardhaman Parasmal Modi ,  Mukarram Baig ,  Rohit Srivastava

IPC: G06N20/00 ,  H04L29/06 ,  G06K9/62 ,  G06N5/04 ,  H04L12/24

Abstract: Techniques for auto-remediating security issues with artificial intelligence. One technique includes obtaining a problem detected within a signal from an emitter associated with a user, inferring a first response, using a global model having a global set of model parameters learned from mappings between problems and responses globally with respect to preferences of all users using a security architecture, inferring a second response, using a local model having a local set of model parameters learned from mappings between problems and responses locally with respect to preferences of the user; evaluating the first response and the second response using criteria, determining a final response for the problem based on the evaluation of the first response and the second response, and selecting a responder from a set of responders based on the final response. The responder is adapted to take one or more actions to respond to the problem.