Abstract: Data storage systems are disclosed for automatically generating encryption rules based on a set of training files that are known to include sensitive information. The system may use a number of heuristic algorithms to generate one or more encryption rules for determining whether a file includes sensitive information. Further, the system may apply the heuristic algorithms to the content of the files, as determined by using natural language processing algorithms, to generate the encryption rules. Moreover, systems are disclosed that are capable of automatically determining whether to encrypt a file based on the generated encryption rules. The content of the file may be determined using natural language processing algorithms and then the encryption rules may be applied to the content of the file to determine whether to encrypt the file.

Abstract: Data storage systems are disclosed for automatically generating encryption rules based on a set of training files that are known to include sensitive information. The system may use a number of heuristic algorithms to generate one or more encryption rules for determining whether a file includes sensitive information. Further, the system may apply the heuristic algorithms to the content of the files, as determined by using natural language processing algorithms, to generate the encryption rules. Moreover, systems are disclosed that are capable of automatically determining whether to encrypt a file based on the generated encryption rules. The content of the file may be determined using natural language processing algorithms and then the encryption rules may be applied to the content of the file to determine whether to encrypt the file.

Abstract: According to certain aspects, an information management system can include a client computing device residing in a primary storage subsystem configured to: identify a first application to archive to one or more secondary storage devices residing in a secondary storage subsystem, the first application being one of a plurality of applications installed on the client computing device; forward an executable instance of the first application to a first secondary storage computing device to copy the executable instance of the first application to the one or more secondary storage devices; and delete the first application from the one or more primary storage devices.

Abstract: According to certain aspects, an information management system can include a client computing device residing in a primary storage subsystem configured to: identify a first application to archive to one or more secondary storage devices residing in a secondary storage subsystem, the first application being one of a plurality of applications installed on the client computing device; identify first data associated with the first application, the first data stored in the one or more primary storage devices associated with the client computing device; forward an executable instance of the first application and the first data to a first secondary storage computing device to copy the executable instance of the first application and the first data to the one or more secondary storage devices; and delete the first application from the one or more primary storage devices.

Abstract: Data storage systems are disclosed for automatically generating encryption rules based on a set of training files that are known to include sensitive information. The system may use a number of heuristic algorithms to generate one or more encryption rules for determining whether a file includes sensitive information. Further, the system may apply the heuristic algorithms to the content of the files, as determined by using natural language processing algorithms, to generate the encryption rules. Moreover, systems are disclosed that are capable of automatically determining whether to encrypt a file based on the generated encryption rules. The content of the file may be determined using natural language processing algorithms and then the encryption rules may be applied to the content of the file to determine whether to encrypt the file.

Abstract: Data storage systems are disclosed for automatically generating encryption rules based on a set of training files that are known to include sensitive information. The system may use a number of heuristic algorithms to generate one or more encryption rules for determining whether a file includes sensitive information. Further, the system may apply the heuristic algorithms to the content of the files, as determined by using natural language processing algorithms, to generate the encryption rules. Moreover, systems are disclosed that are capable of automatically determining whether to encrypt a file based on the generated encryption rules. The content of the file may be determined using natural language processing algorithms and then the encryption rules may be applied to the content of the file to determine whether to encrypt the file.

Abstract: Data storage systems are disclosed for automatically generating encryption rules based on a set of training files that are known to include sensitive information. The system may use a number of heuristic algorithms to generate one or more encryption rules for determining whether a file includes sensitive information. Further, the system may apply the heuristic algorithms to the content of the files, as determined by using natural language processing algorithms, to generate the encryption rules. Moreover, systems are disclosed that are capable of automatically determining whether to encrypt a file based on the generated encryption rules. The content of the file may be determined using natural language processing algorithms and then the encryption rules may be applied to the content of the file to determine whether to encrypt the file.

Abstract: According to certain aspects, an information management system can include a client computing device residing in a primary storage subsystem configured to: identify a first application to archive to one or more secondary storage devices residing in a secondary storage subsystem, the first application being one of a plurality of applications installed on the client computing device; identify first data associated with the first application, the first data stored in the one or more primary storage devices associated with the client computing device; forward an executable instance of the first application and the first data to a first secondary storage controller computer to copy the executable instance of the first application and the first data to the one or more secondary storage devices; and delete the first application from the one or more primary storage devices.

Abstract: Data storage systems are disclosed for automatically generating encryption rules based on a set of training files that are known to include sensitive information. The system may use a number of heuristic algorithms to generate one or more encryption rules for determining whether a file includes sensitive information. Further, the system may apply the heuristic algorithms to the content of the files, as determined by using natural language processing algorithms, to generate the encryption rules. Moreover, systems are disclosed that are capable of automatically determining whether to encrypt a file based on the generated encryption rules. The content of the file may be determined using natural language processing algorithms and then the encryption rules may be applied to the content of the file to determine whether to encrypt the file.

Abstract: The automatic, tiered retention storage system according to certain aspects can automatically classify data items based on content, such as based on the inclusion of search terms in the data items, or based on metadata or other characteristics associated with the data. Based on the classification, the system can assign the data items to corresponding user-defined “buckets.” In some embodiments, each bucket is associated with a particular tier in the storage system having a specific retention period.

Abstract: A system for providing user access to electronic mail includes an email client and an email server. The email client receives and communicates a user interaction with an email message The email server that receives the communication, determines whether the email message stored in a live database or in a backup storage. Upon determination that the email message is stored in a backup storage, the email server performs a message exchange with a backup storage system to perform the user-requested action.

Abstract: The automatic, tiered retention storage system according to certain aspects can automatically classify data items based on content, such as based on the inclusion of search terms in the data items, or based on metadata or other characteristics associated with the data. Based on the classification, the system can assign the data items to corresponding user-defined “buckets.” In some embodiments, each bucket is associated with a particular tier in the storage system having a specific retention period.

Abstract: The automatic, tiered retention storage system according to certain aspects can automatically classify data items based on content, such as based on the inclusion of search terms in the data items, or based on metadata or other characteristics associated with the data. Based on the classification, the system can assign the data items to corresponding user-defined “buckets.” In some embodiments, each bucket is associated with a particular tier in the storage system having a specific retention period.

Abstract: The automatic, tiered retention storage system according to certain aspects can automatically classify data items based on content, such as based on the inclusion of search terms in the data items, or based on metadata or other characteristics associated with the data. Based on the classification, the system can assign the data items to corresponding user-defined “buckets.” In some embodiments, each bucket is associated with a particular tier in the storage system having a specific retention period.

Abstract: The automatic, tiered retention storage system according to certain aspects can automatically classify data items based on content, such as based on the inclusion of search terms in the data items, or based on metadata or other characteristics associated with the data. Based on the classification, the system can assign the data items to corresponding user-defined “buckets.” In some embodiments, each bucket is associated with a particular tier in the storage system having a specific retention period.

Abstract: The automatic, tiered retention storage system according to certain aspects can automatically classify data items based on content, such as based on the inclusion of search terms in the data items, or based on metadata or other characteristics associated with the data. Based on the classification, the system can assign the data items to corresponding user-defined “buckets.” In some embodiments, each bucket is associated with a particular tier in the storage system having a specific retention period.