Chapter 11. Cyber Security

During the course of this book, we have established one thing. In order to realize AI, we need access to large volumes of data. Data plays a central role in building capabilities for intelligent machines which complement and augment human capabilities. The applications we develop based on machine learning architectures and algorithms are only as good as the underlying data. As our dependence on data increases and we start seeing data as an asset for mission-critical systems such as medical equipment, aviation, banking systems, and so on, maintaining the integrity of the data assets is one of the most important priorities and key ingredients for successful widespread adoption of AI-based systems. Protection of critical infrastructure from data breaches is generally known as cyber security.

In this chapter, we are going to see how we can leverage various data governance frameworks to protect the critical data assets and utilize our understanding of Big Data management...