Data-centric Security: Seven Best Practices for Protecting Your Most Sensitive Data - ERP Spain.com - España y América Latina

As organizations incorporate newer data strategies, they also need to consider data-centric security. Data-centric security focuses security controls on the data, rather than perimeter servers or other infrastructure or the network. The goal is to protect sensitive data where it is stored and where it moves. This is becoming increasingly important as organizations start to deal with big data and newer data management platforms and hybrid architectures that include Hadoop and the cloud. Yet, TDWI research suggests that organizations still seem to focus on perimeter security and on application centric security for sensitive data. They think they are focused on protecting their data, but the reality is that many organizations don’t classify their data or know where their sensitive data lives, much less how to protect it.

Join Fern Halper and experts from Cloudera, Liaison, and Striim, in an educational discussion about best practices for protecting sensitive data. This discussion is based on a checklist with the same name.

You will learn about:

-Data-centric security in an evolving data landscape

-Foundational data security principles

-When to use techniques like encryption and tokenization

-What a defense in depth strategy means

-How to move from being reactive to proactive in data security