Abstract: Binary file analysis is based on a measure of suspiciousness indicating level of doubt as to whether a process executing under control of an operating system machine can access and interpret contents of a binary file safely. Various parameters of a binary file may be classified and identified to construct a set of rules for components therein. Each rule in the set may be assigned a suspiciousness score that indicates a degree of confidence as to whether safe execution of the process on the binary file can be achieved. Analysis is performed while access to the binary file excludes interpreting the contents thereof and indicates a suspicious file when the suspiciousness score meets an established criterion.

Abstract: Systems and methods for sensitive data remediation include calculating a Probability of Loss of data on a given computer based on measures of control, integrity, and potential avenues of exploitation of the given computer, determining an Impact of Loss of the data on the given computer based on a type, volume, and nature of the data, and correlating the Probability of Loss with the Impact of Loss to generate a risk score for the given computer that can be compared to other computers in the network. The computers with higher risk scores can then be subjected to data remediation activity.

Abstract: Systems and methods for sensitive data remediation include calculating a Probability of Loss of data on a given computer based on measures of control, integrity, and potential avenues of exploitation of the given computer, determining an Impact of Loss of the data on the given computer based on a type, volume, and nature of the data, and correlating the Probability of Loss with the Impact of Loss to generate a risk score for the given computer that can be compared to other computers in the network. The computers with higher risk scores can then be subjected to data remediation activity.