公开(公告)号：US20220400131A1

公开(公告)日：2022-12-15

申请号：US17345640

申请日：2021-06-11

Applicant: Cisco Technology, Inc.

Inventor： Qihong Shao ,  Xinjun Zhang ,  Yue Liu ,  Kevin Broich ,  Kenneth Charles Croley ,  Gurvinder P. Singh

IPC: H04L29/06 ,  G06F40/56 ,  G06F40/295 ,  G06N3/04 ,  G06N3/08

Abstract: A method, computer system, and computer program product are provided for mitigating network risk. A plurality of risk reports corresponding to a plurality of network devices in a network are processed to determine a multidimensional risk score for the network. The plurality of risk reports are analyzed using a semantic analysis model to identify one or more factors that contribute to the multidimensional risk score. One or more actions are determined using a trained learning model to mitigate one or more dimensions of the multidimensional risk score. The outcomes of applying the one or more actions are presented to a user to indicate an effect of each of the one or more actions on the multidimensional risk score for the network.

公开(公告)号：US20250037056A1

公开(公告)日：2025-01-30

申请号：US18359409

申请日：2023-07-26

Applicant: Cisco Technology, Inc.

Inventor： Qixu Gong ,  Benjamin L. Chang ,  Qihong Shao ,  Gurvinder P. Singh

IPC: G06Q10/0635 ,  G06Q10/0639

Abstract: Methods are provided which involve obtaining enterprise data about a plurality of assets and configuration of an enterprise network, and partner data about one or more network related partner services for the enterprise network. The methods further involve determining one or more hierarchical relationships among the plurality of assets, the enterprise network, and the one or more network related partner services, by performing machine learning on the enterprise data and the partner data. Additionally, the methods involve generating one or more risk values based on the one or more hierarchical relationships and providing the one or more risk values indicative of performance of the one or more network related partner services.

公开(公告)号：US20250080410A1

公开(公告)日：2025-03-06

申请号：US18457804

申请日：2023-08-29

Applicant: Cisco Technology, Inc.

Inventor： Daniel Shan-Shea Chen ,  Pengfei Sun ,  Qihong Shao ,  Gurvinder P. Singh

IPC: H04L41/069 ,  G06F40/166 ,  G06F40/30 ,  H04L41/0654 ,  H04L41/16

Abstract: Methods are provided for generating digests of network-related notifications specifically tailored to user's personas and adaptable across multiple timescale frequencies. Specifically, the methods involve obtaining user data of a user associated with an enterprise network and a plurality of network-related notifications. Each of the plurality of network-related notifications relates to network operations or network configurations. The methods further involve determining a network persona of the user in a context of the enterprise network based on the user data and generating a digest of the plurality of network-related notifications based on the network persona. The digest includes a semantic summary for each of the plurality of network-related notifications that is specific to the network persona. The methods further involve providing the digest for performing one or more actions associated with the enterprise network.

公开(公告)号：US12069082B2

公开(公告)日：2024-08-20

申请号：US17345640

申请日：2021-06-11

Applicant: Cisco Technology, Inc.

Inventor： Qihong Shao ,  Xinjun Zhang ,  Yue Liu ,  Kevin Broich ,  Kenneth Charles Croley ,  Gurvinder P. Singh

IPC: H04L9/40 ,  G06F21/57 ,  G06F40/295 ,  G06N3/045 ,  G06N3/08

CPC classification number: H04L63/1433 ,  G06F21/577 ,  G06F40/295 ,  G06N3/045 ,  G06N3/08

Abstract: A method, computer system, and computer program product are provided for mitigating network risk. A plurality of risk reports corresponding to a plurality of network devices in a network are processed to determine a multidimensional risk score for the network. The plurality of risk reports are analyzed using a semantic analysis model to identify one or more factors that contribute to the multidimensional risk score. One or more actions are determined using a trained learning model to mitigate one or more dimensions of the multidimensional risk score. The outcomes of applying the one or more actions are presented to a user to indicate an effect of each of the one or more actions on the multidimensional risk score for the network.