Data is fueling modern economies, and will over time become more important than capital in trade and economic growth. Progress in Analytics and Artificial Intelligence / Machine-Learning is going to continue to trigger a race to collect data and build value out of it. Data that is personal, represents intellectual property, national security–and other critical aspects of our lives–needs to be protected and secure, while non-personal, anonymized data must be able to flow easily between ecosystem participants. Increasingly, data security is becoming paramount, and our economic systems will require more governance and data regulations.

Securing data and building secure compliant data platforms can be an expensive and challenging process, but is even more so when done as an afterthought. Designing and building secure compliant data platforms is now a prerequisite in modern enterprises and governments.

What are the characteristics?

DevOps teams are bringing agility to modern enterprises, automating software development, testing and deployment. But what if you manage critical data that needs to be secure and compliant? DevOps practices still require a lot of manual processes when it comes to data security and compliance, and the New Context approach solves that problem.
New Context has developed a set of best practices and tools to enable DevOps teams to deliver software based on secure compliant data platforms. We focus on automation and the enforcement of key characteristics of a secure compliant data platform such as attribution, forensics auditability, data provenance and immutable logs.