Abstract: Systems, methods, and computer-readable media are disclosed for enhancing an email application to automatically analyze an email thread and generate a compact content summary. The content summary is based on relative content contributions provided by the constituent email messages in the email thread. The content summary may be presented in a special window without disturbing or modifying the email thread or its constituent email messages. The distinctive content summary disclosed herein comprises certain sentences that are automatically gleaned from the email thread, analyzed relative to other sentences, and presented in a chronological sequence so that the user can quickly determine what the email thread is about and/or the current status of the conversation. The content summary is based on email weights, word weights, and intersecting sentence pairs.

Abstract: This application relates to ransomware detection. Ransomware typically involves an I/O heavy process of encrypting data files and/or deleting or renaming the original files. Thus, ransomware attacks may be detected by analyzing the I/O activity in a given file system. In some embodiments, a software module running on a client machine monitors the I/O activity in a file system. The software module records the number of times the files in the file system are modified, created, deleted, and renamed. The recorded number is compared against a threshold. If the number exceeds the threshold, the software module provides an alert to the user of the client machine that the client machine may be under a ransomware attack. In some embodiments, index data gathered as part of backup operations is utilized, either alone or in combination with the continuously monitored I/O activity data, to detect ransomware attacks.

Abstract: This application relates to ransomware detection and intelligent restore. Ransomware typically involves an I/O heavy process of encrypting data files and/or deleting or renaming the original files. Thus, ransomware attacks may be detected by analyzing the I/O activity in a given file system. When a potential ransomware attack is detected, a timestamp is recorded. If the client machine is indeed taken over by the ransomware attack, an intelligent restore operation can be performed such that the file system is automatically restored to a point in time prior to the infection by the ransomware attack using the recorded timestamp.

Abstract: This application relates to ransomware detection and data pruning management. Ransomware typically involves an I/O heavy process of encrypting data files and/or deleting or renaming the original files. Thus, ransomware attacks may be detected by analyzing the I/O activity in a given file system. In some embodiments, a software module running on a client machine manages copying, archiving, migrating, and/or replicating of primary data and restoring and/or pruning secondary data (e.g., backup copies of the primary data). When a potential ransomware attack is detected, the software module is immediately stopped so that the software module does not prune any data that may need to be restored. Upon receiving user input that indicates that the client machine is not under a ransomware attack, the software module is allowed to resume its operations, including pruning of the secondary data.

Abstract: Systems, methods, and computer-readable media are disclosed for enhancing an email application to automatically analyze an email thread and generate a compact content summary. The content summary is based on relative content contributions provided by the constituent email messages in the email thread. The content summary may be presented in a special window without disturbing or modifying the email thread or its constituent email messages. The distinctive content summary disclosed herein comprises certain sentences that are automatically gleaned from the email thread, analyzed relative to other sentences, and presented in a chronological sequence so that the user can quickly determine what the email thread is about and/or the current status of the conversation. The content summary is based on email weights, word weights, and intersecting sentence pairs.

Abstract: A system according to certain aspects improves the process of managing log data. The system may receive a log data file including one or more log lines that contain information relating to computing operations. At least some of the log lines may include a static portion and a variable portion. The system may process a first log line to identify and extract a static portion from the first log line, and determine a first value for the first log line based on the extracted static portion. The system may process a second log line to identify and extract a static portion from the second log line, and determine a second value for the second log line based on the extracted static portion. The system may compare the first and second values, and based on the comparison, organize the first and second log lines together for presentation to a user.

Abstract: A system according to certain aspects improves the process of managing log data. The system may receive a log data file including one or more log lines that contain information relating to computing operations. At least some of the log lines may include a static portion and a variable portion. The system may process a first log line to identify and extract a static portion from the first log line, and determine a first value for the first log line based on the extracted static portion. The system may process a second log line to identify and extract a static portion from the second log line, and determine a second value for the second log line based on the extracted static portion. The system may compare the first and second values, and based on the comparison, organize the first and second log lines together for presentation to a user.

Abstract: Systems, methods, and computer-readable media are disclosed for enhancing an email application to automatically analyze an email thread and generate a compact content summary. The content summary is based on relative content contributions provided by the constituent email messages in the email thread. The content summary may be presented in a special window without disturbing or modifying the email thread or its constituent email messages. The distinctive content summary disclosed herein comprises certain sentences that are automatically gleaned from the email thread, analyzed relative to other sentences, and presented in a chronological sequence so that the user can quickly determine what the email thread is about and/or the current status of the conversation. The content summary is based on email weights, word weights, and intersecting sentence pairs.

Abstract: Systems, methods, and computer-readable media are disclosed for enhancing an email application to automatically analyze an email thread and generate a compact content summary. The content summary is based on relative content contributions provided by the constituent email messages in the email thread. The content summary may be presented in a special window without disturbing or modifying the email thread or its constituent email messages. The distinctive content summary disclosed herein comprises certain sentences that are automatically gleaned from the email thread, analyzed relative to other sentences, and presented in a chronological sequence so that the user can quickly determine what the email thread is about and/or the current status of the conversation. The content summary is based on email weights, word weights, and intersecting sentence pairs.

Abstract: A system according to certain aspects improves the process of managing log data. The system may receive a log data file including one or more log lines that contain information relating to computing operations. At least some of the log lines may include a static portion and a variable portion. The system may process a first log line to identify and extract a static portion from the first log line, and determine a first value for the first log line based on the extracted static portion. The system may process a second log line to identify and extract a static portion from the second log line, and determine a second value for the second log line based on the extracted static portion. The system may compare the first and second values, and based on the comparison, organize the first and second log lines together for presentation to a user.