Abstract: A model-based system, method, and computer program product are provided for detecting at least potentially unwanted activity associated with confidential data. In use, behavior information associated with use of confidential data is identified, based on predetermined parameters. Additionally, a model is created utilizing the behavioral information. Furthermore, at least potentially unwanted activity associated with the confidential data is detected utilizing the model.

Abstract: An indication of a message that was identified by a recipient user of the message as being associated with a cybersecurity attack is received. Properties of the message are extracted. The extracted properties of the message are provided as inputs to a machine learning model to determine a likelihood the message is associated with a true cybersecurity attack. The determined likelihood is utilized to handle a security response associated with the message.

Abstract: A system, method, and computer program product are provided for isolating a device associated with at least potential data leakage activity, based on user input. In operation, at least potential data leakage activity associated with a device is identified. Furthermore, at least one action is performed to isolate the device, based on user input received utilizing a user interface.

Abstract: A system, method, and computer program product are provided for isolating a device associated with at least potential data leakage activity, based on user input. In operation, at least potential data leakage activity associated with a device is identified. Furthermore, at least one action is performed to isolate the device, based on user input received utilizing a user interface.

Abstract: A system, method, and computer program product are provided for isolating a device associated with at least potential data leakage activity, based on user input. In operation, at least potential data leakage activity associated with a device is identified. Furthermore, at least one action is performed to isolate the device, based on user input received utilizing a user interface.

Abstract: A system, method, and computer program product are provided for conditionally performing a scan of data based on an associated data structure. In use, at least one aspect is identified for each of a first plurality of scanners utilized to perform a scan on data at a first network device. Additionally, at least one data structure is associated with the data, where the at least one data structure reflects the at least one aspect of each of the first plurality of scanners. Furthermore, a subsequent scan on the data is conditionally performed utilizing each of a second plurality of scanners at a second network device, based on the at least one data structure.

Abstract: A reporting system, method, and computer program product are provided with respect to occurrences of potential data leakage. In use, a plurality of occurrences of potential data leakage is identified based on user behavior. In addition, a report is provided based on a determination of whether an aspect of the plurality of occurrences exceeds a predetermined threshold.

Abstract: A system, method, and computer program product are provided for isolating a device associated with at least potential data leakage activity, based on user input. In operation, at least potential data leakage activity associated with a device is identified. Furthermore, at least one action is performed to isolate the device, based on user input received utilizing a user interface.

Abstract: A model-based system, method, and computer program product are provided for detecting at least potentially unwanted activity associated with confidential data. In use, behavior information associated with use of confidential data is identified, based on predetermined parameters. Additionally, a model is created utilizing the behavioral information. Furthermore, at least potentially unwanted activity associated with the confidential data is detected utilizing the model.

Abstract: A system, method, and computer program product are provided for conditionally performing a scan of data based on an associated data structure. In use, at least one aspect is identified for each of a first plurality of scanners utilized to perform a scan on data at a first network device. Additionally, at least one data structure is associated with the data, where the at least one data structure reflects the at least one aspect of each of the first plurality of scanners. Furthermore, a subsequent scan on the data is conditionally performed utilizing each of a second plurality of scanners at a second network device, based on the at least one data structure.

Abstract: A system, method, and computer program product are provided for conditionally performing a scan of data based nit an associated data structure. In use, at least one aspect is identified for each of a first plurality of scanners utilized to perform a scan on data at a first network device. Additionally, at least one data structure is associated with the data, where the at least one data structure reflects the at least one aspect of each of the first plurality of scanners. Furthermore, a subsequent scan on the data is conditionally performed utilizing, each of a second plurality of scanners at a second network device, based on the at least one data structure.

Abstract: A system, method, and computer program product are provided for isolating a device associated with at least potential data leakage activity, based on user input. In operation, at least potential data leakage activity associated with a device is identified. Furthermore, at least one action is performed to isolate the device, based on user input received utilizing a user interface.

Abstract: A system, method, and computer program product are provided for conditionally performing a scan of data based nit an associated data structure. In use, at least one aspect is identified for each of a first plurality of scanners utilized to perform a scan on data at a first network device. Additionally, at least one data. structure is associated with the data, where the at least one data structure reflects the at least one aspect of each of the first plurality of scanners. Furthermore, a subsequent scan on the data is conditionally performed utilizing, each of a second plurality of scanners at a second network device, based on the at least one data structure.

Abstract: A system, method, and computer program product are provided for conditionally performing a scan of data based on an associated data structure. In use, at least one aspect is identified for each of a first plurality of scanners utilized to perform a scan on data at a first network device. Additionally, at least one data structure is associated with the data, where the at least one data structure reflects the at least one aspect of each of the first plurality of scanners. Furthermore, a subsequent scan on the data is conditionally performed utilizing each of a second plurality of scanners at a second network device, based on the at least one data structure.