This document discusses securing big data. It notes the challenges of securing data from multiple sources that is complex and flexible. A centralized security model is most secure but less productive, while a decentralized one is least secure but more productive. The document proposes an associative-based security model that is more secure and productive. It compares the SQL and NoSQL models to an associative data model that contextualizes data based on associations like the human brain, providing security through abstraction. The associative model manages pointers between data sources rather than the data itself, allowing compartmentalization for improved security.