Adaptive network attack prediction system

A system comprising:

• one or more hardware processors;
• one or more non-transitory computer-readable media storing instructions, which, when executed by one or more hardware processors, cause performance of operations comprising:
• identifying varying values for a set of features within historical activity associated with a user account for accessing one or more network services;
• training, based on the varying values for the set of features, a machine-learning model to predict upcoming network attacks;
• detecting activity associated with the user account;
• and
• generating, by the machine-learning model based on the detected activity, an output that indicates at least one of a predicted probability, severity, or number of network attacks within a particular timeframe.

A method comprising:

• identifying varying values for a set of features within historical activity associated with a user account for accessing one or more network services;
• training, based on the varying values for the set of features, a machine-learning model to predict upcoming network attacks;
• detecting activity associated with the user account;
• and
• generating, by the machine-learning model based on the detected activity, an output that indicates at least one of a predicted probability, severity, or number of network attacks within a particular timeframe.