Abstract: A processor may receive a packet configured to travel in a network. The packet may be configured to travel from a first device to a second device. The processor may analyze the packet. The processor may detect a password with the packet. The processor may determine whether the detected password complies with at least one password policy. The processor may provide a password policy compliance output to a user. The password policy compliance output may indicate to the user whether the detected password complies with the at least one password policy.

Abstract: A processor may receive a packet configured to travel in a network. The packet may be configured to travel from a first device to a second device. The processor may analyze the packet. The processor may detect a password with the packet. The processor may determine whether the detected password complies with at least one password policy. The processor may provide a password policy compliance output to a user. The password policy compliance output may indicate to the user whether the detected password complies with the at least one password policy.

Abstract: A data loss prevention (DLP) system provides a policy-based mechanism for managing how data is discovered and classified on an endpoint workstation, file server or other device within an enterprise. The technique described herein works in an automated manner by analyzing file system activity as one or more endpoint applications interact with a file system to build a statistical model of which areas of the file system are (or will be deemed to be) active or highly active. Using this information, scanning to those areas by the DLP software is then prioritized appropriately to focus compute resources on scanning and classifying preferably only those files and folders that are necessary to be scanned, i.e., the file system portions in which the user is applying the majority of his or her activity. As a result, the technique limits scanning to only those areas that have meaningful activity (thereby conserving compute resources with respect to files or folders that have not changed), improving scanning efficiency.

Abstract: A Data Loss Prevention (DLP) system includes an automated method for tracking changes to a security classification (e.g., content category) associated with an artifact to determine whether an attempt is being made to subvert a DLP policy. The method exploits the basic principle that, depending on context, the classification of a particular artifact, or a change to an existing classification, may indicate an attempt to subvert the policy. According to the method, an artifact classification state machine is implemented within a DLP system. For each policy-defined content category on each artifact, the machine identifies a content category change that may be of interest, as defined by policy. When a change in a classification has occurred, an artifact notification event (or, more generally, a notification of the change in classification) is issued.

Abstract: A Data Loss Prevention (DLP) system includes an automated method for tracking changes to a security classification (e.g., content category) associated with an artifact to determine whether an attempt is being made to subvert a DLP policy. The method exploits the basic principle that, depending on context, the classification of a particular artifact, or a change to an existing classification, may indicate an attempt to subvert the policy. According to the method, an artifact classification state machine is implemented within a DLP system. For each policy-defined content category on each artifact, the machine identifies a content category change that may be of interest, as defined by policy. When a change in a classification has occurred, an artifact notification event (or, more generally, a notification of the change in classification) is issued.

Abstract: A data loss prevention (DLP) system provides a policy-based mechanism for managing how data is discovered and classified on an endpoint workstation, file server or other device within an enterprise. The technique described herein works in an automated manner by analyzing file system activity as one or more endpoint applications interact with a file system to build a statistical model of which areas of the file system are (or will be deemed to be) active or highly active. Using this information, scanning to those areas by the DLP software is then prioritized appropriately to focus compute resources on scanning and classifying preferably only those files and folders that are necessary to be scanned, i.e., the file system portions in which the user is applying the majority of his or her activity. As a result, the technique limits scanning to only those areas that have meaningful activity (thereby conserving compute resources with respect to files or folders that have not changed), improving scanning efficiency.