US 11,924,237 B2
Digital asset based cyber risk algorithmic engine, integrated cyber risk methodology and automated cyber risk management system
Maryellen Evans, New York, NY (US)
Assigned to RiskQ, Inc., Bainbridge, NY (US)
Filed by RiskQ, Inc., Bainbridge, NY (US)
Filed on Mar. 18, 2020, as Appl. No. 16/822,231.
Application 16/822,231 is a continuation of application No. 16/585,202, filed on Sep. 27, 2019, granted, now 11,750,633.
Claims priority of provisional application 62/737,161, filed on Sep. 27, 2018.
Claims priority of provisional application 62/827,358, filed on Apr. 1, 2019.
Prior Publication US 2020/0389481 A1, Dec. 10, 2020
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 29/06 (2006.01); G06Q 40/08 (2012.01); H04L 9/40 (2022.01)
CPC H04L 63/1433 (2013.01) [G06Q 40/08 (2013.01)] 11 Claims
OG exemplary drawing
 
1. A method executed by a computer that quantifies a cyber risk associated with a digital data asset, the method comprising:
capturing, by the computer from a digital asset inventory of digital assets, a number of records stored in a database;
capturing, by the computer from the digital asset inventory of the digital assets, an average revenue per hour;
capturing, by the computer from the digital asset inventory of the digital assets, an organization revenue;
displaying, by the computer, the number of records stored in the database, the average revenue per hour, and the organization revenue via a graphical user interface having definable mathematical operands including addition, subtraction, multiplication, and division;
receiving, by the computer, algorithmic selections via the graphical user interface specifying the number of records stored in the database, the average revenue per hour, the organization revenue and the definable mathematical operands including at least one of the addition, the subtraction, the multiplication, and the division;
creating, by the computer, the cyber risk algorithm using the algorithmic selections specifying the number of records stored in the database, the average revenue per hour, the organization revenue, the definable mathematical operands including at least one of the addition, the subtraction, the multiplication, and the division, the digital asset inventory of the digital assets, asset classifications associated with the digital assets, data classifications associated with the digital assets, internal data sources associated with the digital assets, and external data sources associated with the digital assets; and
financially quantifying, by the computer, the cyber risk associated with the digital data asset of the digital data assets by executing the cyber risk algorithm.