US Patent 11985142 Method and system for determining and acting on a structured document cyber threat risk

A cyber defense system using machine learning models trained on the classification of structured documents, such as emails, in order to identify a cyber threat risk of the incoming or outgoing structured document and to cause one or more autonomous actions to be taken in relation to the structured document based on a comparison of a category the structured document is classified with, a score associated with the classification and a threshold score. For incoming structured documents, the autonomous actions of the cyber defense system may act to contain a malign nature of identified incoming structured documents. For outgoing structured documents, the autonomous actions of the cyber defense system may act to prevent the structured document from being sent to an unintended recipient.