Paul K Yang

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:

20200044850, Feb 6, 2020

Filed:

Dec 10, 2018

Appl. No.:

16/215530

Inventors:

- Menlo Park CA, US
Antoine Raux - Menlo Park CA, US
Paul Yang - Palo Alto CA, US
Felicia Wong - Menlo Park CA, US

International Classification:

H04L 9/32
G06F 17/27

Abstract:

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for secure data transmission using natural language. One of the methods includes: obtaining sensitive information for a user; obtaining a natural language key for the user, wherein the natural language key for the user includes one or more natural language tokens; generating decoding data for the sensitive information for the user, wherein generating the decoding data comprises: for each place in the sensitive information for the user: assigning a respective one of the natural language tokens in the natural language key for the user to the value at the place, and generating one or more respective dummy natural language tokens for each value of the respective set of possible values for the place other than the value at the place; and providing the decoding data for use in decoding the natural language key into the sensitive information.

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.