Abstract: The present disclosure describes a system and method for applying machine learning to analyze the sustainability of products and using scoring based on the analysis to curate product recommendations for customers and feedback for product producers. The system and method incorporate product feature (e.g., sustainability) data, including historical data, from multiple sources, and user preferences to generate customized feature (e.g., sustainability) scores.

Abstract: A security monitoring platform may use an unsupervised machine learning technique to cluster historical data related to user access rights associated with multiple cloud applications based on various features that relate to user permissions and attributes within the multiple cloud applications. The security monitoring platform may use a supervised machine learning technique to train an access rights data model based on the clustered historical data and perform one or more actions that relate to current access rights assigned to at least one user within one or more of the multiple cloud applications based on a score representing a probability that an access level assigned to the at least one user within the one or more of the multiple cloud applications is correct. The security monitoring platform may apply a reinforcement learning technique to update the access rights data model based on feedback related to the one or more actions.

Abstract: A security monitoring platform may use an unsupervised machine learning technique to cluster historical data related to user access rights associated with multiple cloud applications based on various features that relate to user permissions and attributes within the multiple cloud applications. The security monitoring platform may use a supervised machine learning technique to train an access rights data model based on the clustered historical data and perform one or more actions that relate to current access rights assigned to at least one user within one or more of the multiple cloud applications based on a score representing a probability that an access level assigned to the at least one user within the one or more of the multiple cloud applications is correct. The security monitoring platform may apply a reinforcement learning technique to update the access rights data model based on feedback related to the one or more actions.

Abstract: A device may receive information that identifies a resource utilization, by another device, of a cloud computing resource. The device may determine a current score based on the information that identifies the resource utilization and information that identifies a threshold. The current score may be indicative of the resource utilization relative to the threshold. The device may determine a prediction of a future score related to the resource utilization based on the current score and based on the threshold. The prediction of the future score may relate to satisfaction of the threshold. The device may determine a set of recommendations. The set of recommendations may be related to the resource utilization. The device may provide information that identifies the current score, the prediction of the future score, or the set of recommendations to permit or cause an action to be performed. The action may be related to the resource utilization.

Abstract: A device may receive information that identifies a resource utilization, by another device, of a cloud computing resource. The device may determine a current score based on the information that identifies the resource utilization and information that identifies a threshold. The current score may be indicative of the resource utilization relative to the threshold. The device may determine a prediction of a future score related to the resource utilization based on the current score and based on the threshold. The prediction of the future score may relate to satisfaction of the threshold. The device may determine a set of recommendations. The set of recommendations may be related to the resource utilization. The device may provide information that identifies the current score, the prediction of the future score, or the set of recommendations to permit or cause an action to be performed. The action may be related to the resource utilization.