Between 2005 and 2020, data volumes will grow by a factor of 300 – enough data to stack CDs from the earth to the moon 162 times. This has come to be known as the ‘big data’ phenomenon. Unfortunately, traditional approaches to handling, storing and analyzing data aren’t adequate at this scale: they’re too costly, slow and physically cumbersome to keep up. Fortunately, in response a new breed of technology has emerged that is cheaper, faster and more scalable. Yet, in meeting these new needs they break many of the traditional security approaches on which enterprises depended. In these massive data volumes, how are organizations going to ensure that their customer information is safe from people looking to exploit it? Is it possible to adopt big data technologies while demonstrating compliance with industry regulations? Will security get in the way of the analytics tools organizations need to make this data useful?