Abstract: The present disclosure relates to systems and methods for identifying cybersecurity risks. The systems and methods use hybrid embeddings to embed structured and unstructured data from security logs. The systems and methods use the hybrid embeddings to detect an anomaly in the security logs to identify cybersecurity risks. The systems and methods receive from a generative artificial intelligence (GAI) model a summary for the identified cybersecurity risk.

Abstract: Systems, methods, and apparatuses are provided for generating a merged media playlist. A plurality of playlists is obtained, each playlist including a plurality of identifiers that identify an item of media content, such as a song. For each item of media content identified in each of the playlists, a feature value is obtained. The feature value may be, for instance, a value representing a characteristic associated with the item of media content. A feature score may be generated for each of the one or more features that is based on the number of occurrences of the feature value associated with the particular feature in a given playlist. The feature scores may then be used to generate a media content item score for each item of media content in each playlist. Based, at least on the media content item scores, a merged media playlist may be generated and ordered.