Salesforce Com, Inc.

Salesforce, Inc.

John Seymour

Prashant Dwarkadas Agrawal

Anuj Gargeya Malkapuram

Azeem Aqil

Techniques are disclosed relating to reporting for network events within a computer network. A computer system may access a set of data corresponding to a particular network event within a computer network, where the set of data includes captured attributes of the particular network event. The computer system may then calculate, using the set of data, a security score indicative of suspiciousness of the event and an actionability score that is based on an extent to which of a particular group of attributes are missing from the set of data. The computer system may determine, based on the two scores, a combined score for the event. The computer system may then report a notification for the event, based on the combined score. Such techniques may decrease a number of reported events for a network, which may advantageously allow resources to be focused on a smaller set of events.

Actionability determination for suspicious network events

Systems and methods are provided for training an audio generation model for a first person using a first voice audio data and a first text transcript of the first voice audio data. Using a second voice audio data and a second text transcript of the second voice audio data, a plurality of pitch voice audio data for the second person may be generated with different pitches. The audio generation model may be trained for the second person using the generated plurality of pitch voice audio data with the different pitches for the second person. Output voice audio may be generated for the second person using received text and the model trained with the generated plurality of pitch voice audio data.

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Bellevue, WA, United States of America

John Seymour