Luis A Vargas

US Patent:

20210264336, Aug 26, 2021

Filed:

Apr 26, 2021

Appl. No.:

17/240058

Inventors:

- New York NY, US
Luis Vargas - New York NY, US
A. Robert Sohval - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.

US Patent:

20200293963, Sep 17, 2020

Filed:

Jun 1, 2020

Appl. No.:

16/889741

Inventors:

- New York NY, US
Luis Vargas - New York NY, US
A. Robert Sohval - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.

US Patent:

20190378067, Dec 12, 2019

Filed:

Aug 9, 2019

Appl. No.:

16/537321

Inventors:

- New York NY, US
Luis Vargas - New York NY, US
A. Robert Sohval - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.

US Patent:

20190147378, May 16, 2019

Filed:

Jan 10, 2019

Appl. No.:

16/244862

Inventors:

- New York NY, US
Luis Vargas - New York NY, US
A. Robert Sohval - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.

US Patent:

20190034845, Jan 31, 2019

Filed:

Jul 28, 2017

Appl. No.:

15/663541

Inventors:

- New York NY, US
LUIS VARGAS - New York NY, US
A. ROBERT SOHVAL - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies. I

US Patent:

20190034846, Jan 31, 2019

Filed:

Jun 26, 2018

Appl. No.:

16/019243

Inventors:

- New York NY, US
Luis Vargas - New York NY, US
A. Robert Sohval - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.

Address:

1130 Bushwick Ave, Brooklyn, NY 11221

VIN:

JH4CU2F60AC024970

Make:

ACURA

Model:

TSX

Year:

2010