Abstract: A network-accessible service provides an enterprise with a view of identity and data activity in the enterprise's cloud accounts. The service enables distinct cloud provider management models to be normalized with centralized analytics and views across large numbers of cloud accounts. Using a domain-specific query language, the system enables rapid interrogation of a complete and centralized data model of all data and identity relationships. The data model also supports a cloud “least privilege and access” framework. Least privilege is a set of minimum permissions that are associated to a given identity; least access is a minimal set of persons that need to have access to given piece data. The framework maps an identity to one or more actions collected in cloud audit logs, and dynamically-build a compete view of an identity's effective permissions. The resulting least privilege and access policies are then applied natively to a given cloud environment to manage access.

Abstract: A network-accessible service provides an enterprise with a view of identity and data activity in the enterprise's cloud accounts. The service enables distinct cloud provider management models to be normalized with centralized analytics and views across large numbers of cloud accounts. Using a domain-specific query language, the system enables rapid interrogation of a complete and centralized data model of all data and identity relationships. The data model also supports a cloud “least privilege and access” framework. Least privilege is a set of minimum permissions that are associated to a given identity; least access is a minimal set of persons that need to have access to given piece data. The framework maps an identity to one or more actions collected in cloud audit logs, and dynamically-build a compete view of an identity's effective permissions. The resulting least privilege and access policies are then applied natively to a given cloud environment to manage access.

Abstract: A network-accessible service provides an enterprise with a view of identity and data activity in the enterprise's cloud accounts. The service enables distinct cloud provider management models to be normalized with centralized analytics and views across large numbers of cloud accounts. Using a domain-specific query language, the system enables rapid interrogation of a complete and centralized data model of all data and identity relationships. The data model also supports a cloud “least privilege and access” framework. Least privilege is a set of minimum permissions that are associated to a given identity; least access is a minimal set of persons that need to have access to given piece data. The framework maps an identity to one or more actions collected in cloud audit logs, and dynamically-build a compete view of an identity's effective permissions. The resulting least privilege and access policies are then applied natively to a given cloud environment to manage access.

Abstract: A method, apparatus and computer program product for selectively storing network traffic data are described. Network traffic is stored according to a first packet filtering policy in a first repository. The stored network traffic is scanned in the first repository according to a second packet filtering policy to identify a subset of network traffic for archiving. The identified subset of network traffic identified by the second packet filtering policy are forensically interesting packets concerning a security issue. The identified subset of network traffic from the first repository is then stored in a second repository.

Abstract: A network-accessible service provides an enterprise with a view of identity and data activity in the enterprise's cloud accounts. The service enables distinct cloud provider management models to be normalized with centralized analytics and views across large numbers of cloud accounts. Using a domain-specific query language, the system enables rapid interrogation of a complete and centralized data model of all data and identity relationships. The data model also supports a cloud “least privilege and access” framework. Least privilege is a set of minimum permissions that are associated to a given identity; least access is a minimal set of persons that need to have access to given piece data. The framework maps an identity to one or more actions collected in cloud audit logs, and dynamically-build a compete view of an identity's effective permissions. The resulting least privilege and access policies are then applied natively to a given cloud environment to manage access.

Abstract: Embodiments provide a system and method for network tracking. By using packet capture applications having a flow identifier and a time stamper, one or more raw packets from one or more packet flows intercepted from a network can be tagged with a unique identifier and timestamp that can later be used to aggregate packet flows that have been analyzed by one or more capture applications. The unique identifier can relate to the network interface of the particular capture application and can also have an increasing value, where the increase in value can be monotonic. Later capture applications, while capable of generating secondary timestamps, can disregard those secondary timestamps for the primary timestamp of the first capture application in order to remove complications arising from latency issues.

Abstract: Embodiments provide a system and method for network tracking. By using packet capture applications having a flow identifier and a time stamper, one or more raw packets from one or more packet flows intercepted from a network can be tagged with a unique identifier and timestamp that can later be used to aggregate packet flows that have been analyzed by one or more capture applications. The unique identifier can relate to the network interface of the particular capture application and can also have an increasing value, where the increase in value can be monotonic. Later capture applications, while capable of generating secondary timestamps, can disregard those secondary timestamps for the primary timestamp of the first capture application in order to remove complications arising from latency issues.

Abstract: Embodiments provide a system and method for network tracking. By using packet capture applications having a flow identifier and a time stamper, one or more raw packets from one or more packet flows intercepted from a network can be tagged with a unique identifier and timestamp that can later be used to aggregate packet flows that have been analyzed by one or more capture applications. The unique identifier can relate to the network interface of the particular capture application and can also have an increasing value, where the increase in value can be monotonic. Later capture applications, while capable of generating secondary timestamps, can disregard those secondary timestamps for the primary timestamp of the first capture application in order to remove complications arising from latency issues.

Abstract: Embodiments provide a system and method for network tracking. By using packet capture applications having a flow identifier and a time stamper, one or more raw packets from one or more packet flows intercepted from a network can be tagged with a unique identifier and timestamp that can later be used to aggregate packet flows that have been analyzed by one or more capture applications. The unique identifier can relate to the network interface of the particular capture application and can also have an increasing value, where the increase in value can be monotonic. Later capture applications, while capable of generating secondary timestamps, can disregard those secondary timestamps for the primary timestamp of the first capture application in order to remove complications arising from latency issues.

Abstract: A method, apparatus and computer program product for selectively storing network traffic data are described. Network traffic is stored according to a first packet filtering policy in a first repository. The stored network traffic is scanned in the first repository according to a second packet filtering policy to identify a subset of network traffic for archiving. The identified subset of network traffic identified by the second packet filtering policy are forensically interesting packets concerning a security issue. The identified subset of network traffic from the first repository is then stored in a second repository.

Abstract: A method, system and computer-usable medium are disclosed for identifying risk within an information technology (IT) environment, comprising: analyzing characteristics of a user accessing a system within an IT environment; associating a risk profile with the user based upon the characteristics of the user; determining when the user accesses a system within the IT environment; maintaining a user risk profile record of all systems within the IT environment accessed by the user, the user risk profile record continuing to be associated with the system after access by the user ceases; and, identifying a risk level for all systems within the IT environment based upon the user risk profile record.

Abstract: A method, system and computer-usable medium are disclosed for identifying risk within an information technology (IT) environment, comprising: analyzing characteristics of a user accessing a system within an IT environment; associating a risk profile with the user based upon the characteristics of the user; determining when the user accesses a system within the IT environment; maintaining a user risk profile record of all systems within the IT environment accessed by the user, the user risk profile record continuing to be associated with the system after access by the user ceases; and, identifying a risk level for all systems within the IT environment based upon the user risk profile record.

Abstract: According to one exemplary embodiment, a method for detecting malware in a network stream to at least one host computer is provided. The method may include initializing a browser profile corresponding with a first website having a first website source and a first plurality of content features. The method may include recording the first plurality of content features and a trusted source based on the first website source. The method may include scanning the network stream for a second content feature within a second plurality of content features associated with a second website. The method may include determining if the second content feature matches a first content feature. The method may include determining if the second plurality of content features is consistent with the first plurality of content features. The method may include determining if a second website source matches the trusted source. The method may include generating an alert.

Abstract: According to one exemplary embodiment, a method for detecting malware in a network stream to at least one host computer is provided. The method may include initializing a browser profile corresponding with a first website having a first website source and a first plurality of content features. The method may include recording the first plurality of content features and a trusted source based on the first website source. The method may include scanning the network stream for a second content feature within a second plurality of content features associated with a second website. The method may include determining if the second content feature matches a first content feature. The method may include determining if the second plurality of content features is consistent with the first plurality of content features. The method may include determining if a second website source matches the trusted source. The method may include generating an alert.

Abstract: According to one exemplary embodiment, a method for detecting malware in a network stream to at least one host computer is provided. The method may include initializing a browser profile corresponding with a first website having a first website source and a first plurality of content features. The method may include recording the first plurality of content features and a trusted source based on the first website source. The method may include scanning the network stream for a second content feature within a second plurality of content features associated with a second website. The method may include determining if the second content feature matches a first content feature. The method may include determining if the second plurality of content features is consistent with the first plurality of content features. The method may include determining if a second website source matches the trusted source. The method may include generating an alert.

Abstract: According to one exemplary embodiment, a method for detecting malware in a network stream to at least one host computer is provided. The method may include initializing a browser profile corresponding with a first website having a first website source and a first plurality of content features. The method may include recording the first plurality of content features and a trusted source based on the first website source. The method may include scanning the network stream for a second content feature within a second plurality of content features associated with a second website. The method may include determining if the second content feature matches a first content feature. The method may include determining if the second plurality of content features is consistent with the first plurality of content features. The method may include determining if a second website source matches the trusted source. The method may include generating an alert.