Predicting security threats using enriched data and a threat analysis model

A computerized method comprising:

• obtaining private data from a private data source;
• obtaining public data from a public data source;
• transforming the private data and the public data into enriched data;
• generating synthetic data from sensitive data in the private data, wherein the synthetic data includes preserved statistical patterns of the sensitive data and omits sensitive identifiers;
• providing the enriched data and the synthetic data as input to a threat analysis model;
• generating threat analysis output data using the threat analysis model;
• and
• performing a security threat prevention action using the generated threat analysis output data.

A computer storage medium has computer-executable instructions that, upon execution by a processor, cause the processor to at least:

• obtain private data from a private data source;
• obtain public data from a public data source;
• transform the private data and the public data into enriched data artifacts, each enriched data artifact associating data portions determined to relate to a same entity or event;
• provide the enriched data artifacts as input to a threat analysis model;
• generate threat analysis output data using the threat analysis model;
• present, in a graphical user interface (GUI), a visualization of the threat analysis output data including at least one of a predicted threat, a predicted gate event associated with the predicted threat, and an anticipated resiliency prediction;
• and
• perform a security threat prevention action using the generated threat analysis output data.