Cyber security data products

A method comprising:

• generating a data model for managing data and generating data products from one or more data sources, wherein the data products comprise source data products and consumer data products, the data model configured to:
• establish a linkage between the data model and a data platform hosting the one or more data sources to thereby establish a data contract with one of the data sources, the linkage specifying a relationship between at least two disparate data domains associated with the one or more data sources for cross-verification of data extraction accuracy;
• validate a data variance between source datasets from the at least two disparate data domains using the linkage and integrate one or more source datasets together to thereby generate a source data product responsive to the data variance satisfying a threshold;
• and
• transform one or more source data products into a consumer data product, the consumer data product being aligned with a functional context of a particular data domain and tagged with metadata tracking the linkage of the data contract;
• creating, using the data model, one or more data products;
• and
• loading the data products into a network-accessible repository accessible by one or more downstream devices, each downstream device being associated with a domain specific entity.

A non-transitory computer-readable medium embodying program code that is executable by one or more processors to cause the one or more processors to:

• generate a data model for managing data and generating data products from one or more data sources, wherein the data products comprise source data products and consumer data products, the data model configured to:
• establish a linkage between the data model and a data platform hosting the one or more data sources to thereby establish a data contract with one of the data sources, the linkage specifying a relationship between at least two disparate data domains associated with the one or more data sources for cross-verification of data extraction accuracy;
• validate a data variance between source datasets from the at least two disparate data domains using the linkage and integrate one or more source datasets together to thereby generate a source data product responsive to the data variance satisfying a threshold;
• and
• transform one or more source data products into a consumer data product, the consumer data product being aligned with a functional context of a particular data domain and tagged with metadata tracking the linkage of the data contract;
• create, using the data model, one or more data products;
• and
• load the data products into a network-accessible repository accessible by one or more downstream devices, each downstream device being associated with a domain specific entity.