Brian M Wu

US Patent:

20220203244, Jun 30, 2022

Filed:

Dec 31, 2020

Appl. No.:

17/139864

Inventors:

- Hillsborough CA, US
Brian Wu - Hillsborough CA, US

Assignee:

GGWP, Inc. - Hillsborough CA

International Classification:

A63F 13/79
G06N 20/00

Abstract:

Methods and systems for cross-platform user profiling based on disparate datasets using machine learning models. Specifically, the system may monitor native asset data of an asset corresponding to a cross-platform profile, wherein the cross-platform profile comprises a profile linked to an account, for a user, that is used across multiple assets. The system may detect, using a machine learning model, an incident of the user based on telemetry data extracted from the native asset data. The system may update a status of the cross-platform profile based on the incident. The system may generate for presentation, in a user interface for the account, the status of cross-platform profile and reconstructed asset data based on the incident.

US Patent:

20200076859, Mar 5, 2020

Filed:

Oct 24, 2019

Appl. No.:

16/662936

Inventors:

- San Mateo CA, US
Brian Wu - San Francisco CA, US
Ming Yang - San Mateo CA, US
Paul Yang - San Mateo CA, US
Fernando Tancioco, JR. - San Ramon CA, US

International Classification:

H04L 29/06
G06Q 40/08
G06Q 40/06
G06N 20/00
G06Q 30/00

Abstract:

Inferential analysis includes: assessing risk of a cyber security failure in a computer network of an entity, using a computer agent configured to collect information from at least one accessible Internet elements; automatically determining, based on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy; and automatically recommending, based on the assessed risk, a computer network change to reduce the assessed risk.

US Patent:

20190035027, Jan 31, 2019

Filed:

Jul 26, 2017

Appl. No.:

15/660822

Inventors:

- Foster City CA, US
Yoshifumi Yamamoto - Palo Alto CA, US
Brian Wu - San Francisco CA, US
Siddharth R. Ramakrishnan - Pleasanton CA, US

International Classification:

G06Q 40/08

Abstract:

Various embodiments disclosed include, for each entity in a portfolio, receiving entity data indicative of attributes of an entity, determining the received entity data for at least some entities is missing a portion of the entity data required to perform a cyber risk analysis; and synthesizing the missing portion. The method may further include comparing the received entity data and synthesized missing portion for each of the entities to each other; locating clusters of similar entity data shared between two or more of the entities; and calculating a cyber risk score representing how different the entities are to one another based on the entity data that are not shared between entities. Some embodiments include comparing entities that are missing some entity data to entities which have complete entity data, and generating a synthesized portfolio by selecting entities having complete entity data to replace the entities that are missing entity data.

US Patent:

20180359281, Dec 13, 2018

Filed:

May 4, 2018

Appl. No.:

15/971946

Inventors:

- Foster City CA, US
Brian Wu - San Francisco CA, US
Ming Yang - San Mateo CA, US
Paul Yang - San Mateo CA, US
Fernando Tancioco - San Ramon CA, US

International Classification:

H04L 29/06
G06N 99/00
G06Q 30/00
G06Q 40/06

Abstract:

Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Some embodiments involve using continual or periodic data collecting to improve inferential analysis, as well as obtaining circumstantial or inferential information from social networks. Machine learning may be used to improve predicitive capabilities. Some embodiments allow for identification of an entity from circumstantial or inferential information based on the machine learning and comparative analyses.

US Patent:

20170085595, Mar 23, 2017

Filed:

Dec 6, 2016

Appl. No.:

15/371047

Inventors:

- San Mateo CA, US
Brian Wu - San Francisco CA, US
Ming Yang - San Mateo CA, US
Paul Yang - San Mateo CA, US
Fernando Tancioco, JR. - San Ramon CA, US

International Classification:

H04L 29/06
G06Q 30/00
G06N 99/00

Abstract:

Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Some embodiments involve using continual or periodic data collecting to improve inferential analysis, as well as obtaining circumstantial or inferential information from social networks. Machine learning may be used to improve predicitive capabilities. Some embodiments allow for identification of an entity from circumstantial or inferential information based on the machine learning and comparative analyses.