Systems, methods, and storage media for calculating the frequency of cyber risk loss within computing systems
AssigneeRiskLens, Inc.
InventorsJack Allen Jones, Justin Nicholas Theriot, Jason Michael Cherry
Life of this patent
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AssigneeRiskLens, Inc.
InventorsJack Allen Jones, Justin Nicholas Theriot, Jason Michael Cherry
Estimating the term…
Systems, methods, and storage media for determining the probability of cyber risk-related loss within one or more computing systems composed of computing elements are disclosed. Exemplary implementations may: assess vulnerability by determining an exposure window for a computing element based on the number of discrete times within a given time frame where the computing element is in a vulnerable state; determine a frequency of contact of the computing element with threat actors; normalize the exposure window and the frequency of contact; calculate a threat event frequency by dividing the normalized exposure window by the normalized frequency of contact; and repeat the steps for multiple elements. When combined with liability data that describes the loss magnitude implications of these events, organizations can prioritize the elements based on loss exposure and take action to prevent loss exposure.
A system configured for determining the frequency of cyber risk losses within one or more computing systems composed of computing elements, the system comprising:
The system of claim 2, wherein the normalizing of the exposure window is accomplished as part of assessing vulnerability and the normalizing of the frequency of contact is accomplished as part of determining a frequency.
A method for prioritizing cyber risks within one or more computing systems composed of computing elements, the method comprising:
A non-transient computer-readable storage medium having instructions embodied thereon, the instructions being executable by one or more processors to perform a method for prioritizing cyber risks within one or more computing systems composed of computing elements, the method comprising:
Dependencies are inferred from the claim text.