公开(公告)号：US10931703B2

公开(公告)日：2021-02-23

申请号：US16003987

申请日：2018-06-08

申请人： ProSOC, Inc.

发明人： Ken Adamson ,  Jordan Knopp ,  Bradley Houston Taylor

IPC分类号： H04L9/00 ,  H04L29/06 ,  H04L12/26

摘要： Embodiments of the disclosure are related to a method, apparatus, and system for generating scores for the security threat coverage in a client network based on collected network environment data, comprising: determining a client device list; creating a client-specific threat matrix based on the client device list and a general threat matrix; and determining one or more security threat coverage scores for the client network based on the client-specific threat matrix.

公开(公告)号：US20230267340A1

公开(公告)日：2023-08-24

申请号：US17675704

申请日：2022-02-18

申请人： ProSOC, Inc.

发明人： Kristopher Chesney ,  Jordan Knopp

IPC分类号： G06N5/02 ,  G06F16/2455 ,  G06F16/18

CPC分类号： G06N5/022 ,  G06F16/24564 ,  G06F16/1805

摘要： Embodiments of the disclosure are related to a method, apparatus, and system for multi-tenancy machine-learning based on collected data from multiple clients, comprising: obtaining client data from multiple clients; sending the client data from the multiple clients to a database; pulling data from the database by a machine learning job based on job parameters; partitioning the data by each client for the machine learning job; analyzing the data from the multiple clients by the machine learning job; sending the results of the analysis of the data from the multiple clients by the machine learning job back to the database; querying the database for data specified by rules; and if rules are met by the queried data for one or more of the multiple clients, transmit an alert to an alerting platform.