Abstract: A method for assessing a cyber security risk, the method comprising the steps of: obtaining cyber security precursor information from a plurality of sources, wherein the cyber security precursor information can be obtained from one or more online or offline sources; normalizing the obtained cyber security precursor information to a common information model; generating, from the normalized cyber security precursor information, one or more events; producing, from the one or more generated events, one or more facts; calculating a plurality of risk indicators from the one or more facts; normalizing the plurality of risk indicators to a common model; calculating, using the normalized plurality of risk indicators, one or more cyber risk index component scores; and calculating, using the one or more cyber risk index component scores, a cyber risk indicator index.

Abstract: A method for assessing a cyber security risk, the method comprising the steps of: obtaining cyber security precursor information from a plurality of sources, wherein the cyber security precursor information can be obtained from one or more online or offline sources; normalizing the obtained cyber security precursor information to a common information model; generating, from the normalized cyber security precursor information, one or more events; producing, from the one or more generated events, one or more facts; calculating a plurality of risk indicators from the one or more facts; normalizing the plurality of risk indicators to a common model; calculating, using the normalized plurality of risk indicators, one or more cyber risk index component scores; and calculating, using the one or more cyber risk index component scores, a cyber risk indicator index.

Abstract: A method for assessing a cyber security risk, the method comprising the steps of: obtaining cyber security precursor information from a plurality of sources, wherein the cyber security precursor information can be obtained from one or more online or offline sources; normalizing the obtained cyber security precursor information to a common information model; generating, from the normalized cyber security precursor information, one or more events; producing, from the one or more generated events, one or more facts; calculating a plurality of risk indicators from the one or more facts; normalizing the plurality of risk indicators to a common model; calculating, using the normalized plurality of risk indicators, one or more cyber risk index component scores; and calculating, using the one or more cyber risk index component scores, a cyber risk indicator index.

Abstract: A method for assessing a cyber security risk, the method comprising the steps of: obtaining cyber security precursor information from a plurality of sources, wherein the cyber security precursor information can be obtained from one or more online or offline sources; normalizing the obtained cyber security precursor information to a common information model; generating, from the normalized cyber security precursor information, one or more events; producing, from the one or more generated events, one or more facts; calculating a plurality of risk indicators from the one or more facts; normalizing the plurality of risk indicators to a common model; calculating, using the normalized plurality of risk indicators, one or more cyber risk index component scores; and calculating, using the one or more cyber risk index component scores, a cyber risk indicator index.

Abstract: A method for correlating information across distinct domains without requiring feature co-occurrence. The disparate information collections are broken down into features, and a correlation index with correlation score is created. To determine the correlation between distinct domains, an information artifact collection is reduced to a representational set of features, these features are replaced with correlated features using the correlation index, and the new set of features is matched against the second information artifact collection using an appropriate comparison technique. The correlation method allows a single input artifact to be matched against an existing collection, resulting in a set of correlated artifacts from the disparate collection, each ranked by correlation score.

Abstract: A method for correlating information across distinct domains without requiring feature co-occurrence. The disparate information collections are broken down into features, and a correlation index with correlation score is created. To determine the correlation between distinct domains, an information artifact collection is reduced to a representational set of features, these features are replaced with correlated features using the correlation index, and the new set of features is matched against the second information artifact collection using an appropriate comparison technique. The correlation method allows a single input artifact to be matched against an existing collection, resulting in a set of correlated artifacts from the disparate collection, each ranked by correlation score.