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.

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.

Abstract: The present disclosure provides a method, system, and device for inquiry response mapping for determining a cybersecurity risk level of an entity. To manage and/or evaluate a cybersecurity risk level based on a relationship between a first entity and a second entity, questionnaires (e.g., requests or inquires) are often exchanged between two entities. One or more aspects of the present disclosure provide populating data sets (e.g., questionnaires) indicative of risk level for the first entity or the second entity. One or more other aspects of the present disclosure further provide determining a cybersecurity risk level of an entity by mapping responses to a plurality of inquiry sets directed to the first entity or the second entity.

Abstract: The present disclosure provides a method, system, and device for inquiry response mapping for determining a cybersecurity risk level of an entity. To manage and/or evaluate a cybersecurity risk level based on a relationship between a first entity and a second entity, questionnaires (e.g., requests or inquires) are often exchanged between two entities. One or more aspects of the present disclosure provide populating data sets (e.g., questionnaires) indicative of risk level for the first entity or the second entity. One or more other aspects of the present disclosure further provide determining a cybersecurity risk level of an entity by mapping responses to a plurality of inquiry sets directed to the first entity or the second entity.

Abstract: The present disclosure provides a method, system, and device for inquiry response mapping for determining a cybersecurity risk level of an entity. To manage and/or evaluate a cybersecurity risk level based on a relationship between a first entity and a second entity, questionnaires (e.g., requests or inquires) are often exchanged between two entities. One or more aspects of the present disclosure provide populating data sets (e.g., questionnaires) indicative of risk level for the first entity or the second entity. One or more other aspects of the present disclosure further provide determining a cybersecurity risk level of an entity by mapping responses to a plurality of inquiry sets directed to the first entity or the second entity.

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.

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.

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.

Abstract: The present disclosure provides a method, system, and device for inquiry response mapping for determining a cybersecurity risk level of an entity. To manage and/or evaluate a cybersecurity risk level based on a relationship between a first entity and a second entity, questionnaires (e.g., requests or inquires) are often exchanged between two entities. One or more aspects of the present disclosure provide populating data sets (e.g., questionnaires) indicative of risk level for the first entity or the second entity. One or more other aspects of the present disclosure further provide determining a cybersecurity risk level of an entity by mapping responses to a plurality of inquiry sets directed to the first entity or the second entity.

Abstract: The present disclosure provides a method, system, and device for inquiry response mapping for determining a cybersecurity risk level of an entity. To manage and/or evaluate a cybersecurity risk level based on a relationship between a first entity and a second entity, questionnaires (e.g., requests or inquires) are often exchanged between two entities. One or more aspects of the present disclosure provide populating data sets (e.g., questionnaires) indicative of risk level for the first entity or the second entity. One or more other aspects of the present disclosure further provide determining a cybersecurity risk level of an entity by mapping responses to a plurality of inquiry sets directed to the first entity or the second entity.

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.

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.

Abstract: The present disclosure provides a method, system, and device for inquiry response mapping for determining a cybersecurity risk level of an entity. To manage and/or evaluate a cybersecurity risk level based on a relationship between a first entity and a second entity, questionnaires (e.g., requests or inquires) are often exchanged between two entities. One or more aspects of the present disclosure provide populating data sets (e.g., questionnaires) indicative of risk level for the first entity or the second entity. One or more other aspects of the present disclosure further provide determining a cybersecurity risk level of an entity by mapping responses to a plurality of inquiry sets directed to the first entity or the second entity.

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.

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.

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.

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.

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.

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.

Abstract: An apparatus for immobilizing an anatomical feature during a magnetic resonance imaging process of the anatomical feature is disclosed. The apparatus has a housing, which defines a central opening to accommodate the anatomical feature. The apparatus further includes a coil member fixedly mounted in the housing. The coil member processes an RF signal. The apparatus further includes a first support member disposed at a side of the housing and a second support member disposed at an opposite side of the housing. The first and second support members are fixed with respect to the housing.