Abstract: A system and computer implemented method for automatically checking non-compliance of device firmware (30) is disclosed. The method comprises receiving (200) an image (50) of the device firmware (30) to a pipeline (40) and accessing (225) at least one requirement (125) from a guidelines database (120). The guidelines database (120) comprises a plurality of guideline documents (310) and common requirements (340), wherein the common requirements (340) are common to a plurality of the guideline documents (310). At least detection rule (140) on the downloaded device firmware (30) is run (230) to detect a violated one of the at least one requirement (125) in the device firmware (30) and the violated requirement is flagged (225) in a compliance database (135).

Abstract: A computer-implemented method for determining computer system security threats, the computer system including user accounts established on the computer system, the method including the steps of: (i) for a plurality of user accounts, assigning a risk level to each account; (ii) in a time interval, for a plurality of events, wherein each event is linked to a respective user account, assigning an event score relating to deviation from normal behavior of each event with respect to the respective user account; (iii) in the time interval, for the plurality of events, calculating an event importance which is a function of the respective event score and the respective user account risk level; (iv) prioritizing the plurality of events by event importance, and (v) providing a record of the plurality of events, prioritized by event importance.

Abstract: A computer-implemented method for determining computer system security threats, the computer system including user accounts established on the computer system, the method including the steps of: (i) for a plurality of user accounts, assigning a risk level to each account; (ii) in a time interval, for a plurality of events, wherein each event is linked to a respective user account, assigning an event score relating to deviation from normal behavior of each event with respect to the respective user account; (iii) in the time interval, for the plurality of events, calculating an event importance which is a function of the respective event score and the respective user account risk level; (iv) prioritizing the plurality of events by event importance, and (v) providing a record of the plurality of events, prioritized by event importance.