With the rise of big data infrastructures, so have the challenges associated with tracking changes while maintaining data confidentiality, integrity, and availability of collected data. Maintaining a consistent security program across data collected can be increasing difficult while attesting for changes in the environment.
Securing Big Data has to meet the requirement of securing data at its provenance, after each stage of transit, and provisioning of secure data analytics, all while assuring fine-grain controllability and observability. To assure big data controllability, traceability, and observability for security, the principle is to create a `nervous system` for big data. This is akin to the bulk of the big data all tethered and controlled by
lightweight, metadata-rich keys, sourced from a master trust anchor. Keys must come with an evidence of source of generation and mode of generation.
This session will address those challenges while providing solutions backed by blockchain technologies.