Misdirected email data loss prevention

A method, comprising:

• at a computing platform comprising at least one processor, a communication interface, and memory:
• detecting input of a first target recipient domain into a first email message;
• identifying, in real time and prior to sending the first email message, that the first target recipient domain comprises an intended recipient domain, wherein the identification comprises:
• identifying, using a user graph, a plurality of nearest neighbor recipients for a message sender,
• identifying, using a plurality of machine learning algorithms, first context information for the first email message, wherein identifying the first context information for the first email message comprises:
• identifying, using latent Dirichlet allocation (LDA), one or more topics in the first email message,
• identifying, using named entity recognition (NER), one or more named entities in the first email message, and
• identifying, using text summarization, a predetermined number of most frequently used keywords in the first email message, and
• identifying that the first context information is a first level match with historical context information from historical messages between the message sender and a message recipient, of the plurality of nearest neighbor recipients, corresponding to the first target recipient domain;
• and
• sending, based on the identification of the intended recipient domain and to a user device of the message recipient, the first email message.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, a communication interface, and memory, cause the computing platform to:

• detect input of a first target recipient domain into a first email message;
• identify, in real time and prior to sending the first email message, that the first target recipient domain comprises an unintended recipient domain instead of an intended recipient domain, wherein the identification comprises:
• identifying, using a user graph, a plurality of nearest neighbor recipients for a message sender,
• identifying, using a plurality of machine learning algorithms, first context information for the first email message, wherein identifying the first context information for the first email message comprises:
• identifying, using latent Dirichlet allocation (LDA), one or more topics in the first email message,
• identifying, using named entity recognition (NER), one or more named entities in the first email message, and
• identifying, using text summarization, a predetermined number of most frequently used keywords in the first email message, and
• identifying that the first context information does not match historical context information from historical messages between the message sender and the plurality of nearest neighbor recipients;
• and
• send, based on the identification of the unintended recipient domain and to a user device, a notification that the first target recipient domain is flagged as the unintended recipient domain and one or more commands directing the user device to display the notification.