Abstract: Methods, devices, and systems disclosed herein measure endpoint user security event susceptibility (e.g., a malware infection) and provide information for endpoint posture evaluation. A relatively small software application may be installed using, for example, a systems management push system where the software runs on each endpoint system and reports back to a central repository or base system. The software runs on machines that it is pushed to and generates a score for that endpoint. That score is a quantification of endpoint user security risk, i.e., the likelihood that a particular endpoint is likely to be the source of a security event at some point in the future. This information may be used to generate a Relative Score for each endpoint so that the endpoints can be ranked from most secure to least secure and an Absolute Score so that a given distributed system can be compared to other distributed systems.

Abstract: Methods, devices, and systems disclosed herein measure endpoint user security event susceptibility (e.g., a malware infection) and provide information for endpoint/user posture evaluation. A relatively small software application may be installed using, for example, a systems management push system where the software runs on each endpoint system and reports back to a central repository or base system. The software runs on machines that it is pushed to and generates a score for that endpoint. That score is a quantification of endpoint user security risk, i.e., the likelihood that a particular endpoint is likely to be the source of a security event at some point in the future. This information may be used to generate a Relative Score for each endpoint so that the endpoints can be ranked from most secure to least secure and an Absolute Score so that a given distributed system can be compared to other distributed systems.

Abstract: Methods, devices, and systems disclosed herein measure endpoint user security event susceptibility (e.g., a malware infection) and provide information for endpoint/user posture evaluation. A relatively small software application may be installed using, for example, a systems management push system where the software runs on each endpoint system and reports back to a central repository or base system. The software runs on machines that it is pushed to and generates a score for that endpoint. That score is a quantification of endpoint user security risk, i.e., the likelihood that a particular endpoint is likely to be the source of a security event at some point in the future. This information may be used to generate a Relative Score for each endpoint so that the endpoints can be ranked from most secure to least secure and an Absolute Score so that a given distributed system can be compared to other distributed systems.