Abstract: A distributed computing system is configured to perform operations for embedding graphs of large scale. The system can generate node sequences from a target graph, determine training samples, and perform unsupervised learning using counts of co-occurrences between nodes to iteratively update an embedding table and learn a low-dimensional representation of the graph.

Abstract: A stringed musical instrument includes a soundbox, including a soundboard and a backboard opposite the soundboard; a headstock, including tuners; a neck member, including a fretboard, extending between the headstock and the soundbox to form a common longitudinal axis; a plurality of strings having ends coupled to the tuners and other ends coupled to the soundbox; and a bridge coupled to the soundbox along the longitudinal axis. Ends of the strings are connected to the bridge and other ends of the strings are connected to the tuners. The soundboard is configured to directly interconnect with the backboard to form a sound chamber.

Abstract: A method of identifying a contributing cause of an anomaly including receiving a set of timeseries data representing metric values over time, wherein the timeseries data has at least two dimensions, for each of two or more of the timestamps in the set of timeseries data, generating a first and second graph representing (i) the metric values at that timestamp, (ii) the at least two dimensions at that timestamp, and (iii) associations between the metric values at that timestamp, analyzing the first and second graphs associated with each timestamp to identify a particular timestamp including an anomaly, and analyzing the first and second graphs associated with the identified particular timestamp to identify a node that contributed in causing the anomaly.

Abstract: A threat management facility generates a simulated phishing threat based on one or more characteristics of users of an enterprise network and transmits the simulated phishing threat to the users of the enterprise network. Based on whether a user fails to respond appropriately to the simulated phishing threat, the threat management facility may adjust a profile of the user. Network traffic to and from an endpoint associated with the user may be processed according to the adjusted profile.

Abstract: A threat management facility generates a simulated phishing threat based on one or more characteristics of users of an enterprise network and transmits the simulated phishing threat to the users of the enterprise network. Based on whether a user fails to respond appropriately to the simulated phishing threat, the threat management facility may adjust a profile of the user. Network traffic to and from an endpoint associated with the user may be processed according to the adjusted profile.

Abstract: Described is a database audit system used to monitor, and optionally alert on database activity, providing a complete record of access to data and database structure. The data audit system may also provide an audit trail of data accesses and changes to database schema and permissions. A database audit may be performed by collecting data from database transaction logs and traces, exporting the collected data into a repository, and analyzing the data in the repository to create data audit reports and to provide data audit browsing capabilities.

Abstract: A database audit system monitors database activity, providing a complete record of access to data and database structure. A database audit may be performed by collecting data from database transaction logs and traces, exporting the collected data into a repository, and analyzing the data in the repository to create data audit reports and to provide data audit browsing capabilities. A separation between audit side and audited data side is maintained through limited access permissions.

Abstract: Described is a database audit system used to monitor, and optionally alert on database activity, providing a complete record of access to data and database structure. The data audit system may also provide an audit trail of data accesses and changes to database schema and permissions. A database audit may be performed by collecting data from database transaction logs and traces, exporting the collected data into a repository, and analyzing the data in the repository to create data audit reports and to provide data audit browsing capabilities.