Method and system for detection of undisclosed cyber events

A non-transitory computer-readable medium, comprising instructions configured to detect unreported cyber events experienced by an entity of interest, wherein the instructions, when executed by one or more processors, are configured to:

• obtain training data related to historical cyber health of a plurality of entities, wherein each of the plurality of entities includes a company or organization, and the training data includes cybersecurity data for each of the plurality of entities and the cybersecurity data for each of the plurality of entities is transformed into a plurality of images, wherein each image is configured to convey the cybersecurity data for one of the plurality of entities;
• train a neural network on the plurality of images of the training data to create a trained neural network;
• utilize the trained neural network to generate a predicted number of cyber events experienced by the entity of interest during a time period;
• monitor a reported number of cyber events experienced by the entity of interest during the time period;
• and
• generate a predicted unreported number of cyber events experienced by the entity of interest during the time period based upon comparing the predicted number of cyber events experienced by the entity of interest during the time period to the reported number of cyber events experienced by the entity of interest during the time period.

A system for detection of unreported cyber events experienced by an entity of interest, comprising:

• a computerized server device operating an undisclosed cyber event tabulation module including programming, which when executed by one or more processors, are configured to:
• obtain training data related to historical cyber health of a plurality of entities, wherein each of the plurality of entities includes a company or organization, and the training data includes cybersecurity data for each of the plurality of entities and the cybersecurity data for each of the plurality of entities is transformed into a plurality of images, wherein each image is configured for conveying the cybersecurity data for one of the plurality of entities;
• train a neural network on the plurality of images of the training data to create a trained neural network;
• utilize the trained neural network to generate a predicted number of cyber events experienced by the entity of interest during a time period;
• monitor a reported number of cyber events experienced by the entity of interest during the time period;
• and
• generate a predicted unreported number of cyber events experienced by the entity of interest during the time period based upon comparing the predicted number of cyber events experienced by the entity of interest during the time period to the reported number of cyber events experienced by the entity of interest during the time period.