Abstract: A method for using inventory rules to identify devices of a computer network includes intercepting data traffic across one or more communication links of the computer network. The intercepted data traffic is analyzed to determine whether one or more of a plurality of inventory rules is satisfied by the intercepted data traffic. Each of the plurality of inventory rules comprises one or more conditions indicating the presence of a particular computer network device having a set of parameters. Each one of the plurality of inventory rules has a weighting factor value indicative of a priority of the application of a corresponding rule. The weighting factor value depends on previously identified devices. One or more devices of the computer network are identified using the weighting factor value of the one or more satisfied inventory rules.

Abstract: A method for using inventory rules to identify devices of a computer network includes intercepting data traffic across one or more communication links of the computer network. The intercepted data traffic is analyzed to determine whether one or more of a plurality of inventory rules is satisfied by the intercepted data traffic. Each of the plurality of inventory rules comprises one or more conditions indicating the presence of a particular computer network device having a set of parameters. Each one of the plurality of inventory rules has a weighting factor value indicative of a priority of the application of a corresponding rule. The weighting factor value depends on previously identified devices. One or more devices of the computer network are identified using the weighting factor value of the one or more satisfied inventory rules.

Abstract: Disclosed herein are systems and method for correlating events to detect an information security incident, a correlation module may receive a plurality of network events indicating potential security violations, wherein each network event of the plurality of network events has a respective timestamp. The correlation module may identify, from the plurality of network events, a subset of network events that have occurred within a period of time, based on each respective timestamp. The correlation module may determine a plurality of potential orders of occurrence for the subset of network events. The correlation module may apply at least one correlation rule to each respective potential order of the plurality of potential orders. In response to determining that the at least one correlation rule is fulfilled, the correlation module may detect the information security incident.

Abstract: A method for using inventory rules to identify devices of a computer network includes intercepting data traffic across one or more communication links of the computer network. The intercepted data traffic is analyzed to determine whether one or more of a plurality of inventory rules is satisfied by the intercepted data traffic. Each of the plurality of inventory rules includes one or more conditions indicating the presence of a particular computer network device having a set of parameters. Devices of the computer network are identified using one or more satisfied inventory rules.

Abstract: A method for using inventory rules to identify devices of a computer network includes intercepting data traffic across one or more communication links of the computer network. The intercepted data traffic is analyzed to determine whether one or more of a plurality of inventory rules is satisfied by the intercepted data traffic. Each of the plurality of inventory rules includes one or more conditions indicating the presence of a particular computer network device having a set of parameters. Devices of the computer network are identified using one or more satisfied inventory rules.

Abstract: Disclosed herein are systems and method for correlating events to detect an information security incident, a correlation module may receive a plurality of network events indicating potential security violations, wherein each network event of the plurality of network events has a respective timestamp. The correlation module may identify, from the plurality of network events, a subset of network events that have occurred within a period of time, based on each respective timestamp. The correlation module may determine a plurality of potential orders of occurrence for the subset of network events. The correlation module may apply at least one correlation rule to each respective potential order of the plurality of potential orders. In response to determining that the at least one correlation rule is fulfilled, the correlation module may detect the information security incident.