At the IBM Flash 2013, SiliconAngle’s theCube interviews Bob Bruce, VP of Federal Sales at ViON, a company that specializes in designing, delivering and maintaining storage and server solutions to enterprise-wide data centers throughout the federal government and public sector & commercial marketplaces.

According to Bruce, ViON’s clients are largely from the intelligence community, and these clients are always on the lookout for technology enablers to help them process data faster. Flash helps them a great deal with that as it allows them to put more data which a five-year-old technology can’t do. Because ViON works in the single most security-conscious industry in the world, Bruce shared his thoughts on how flash and big data can improve security.

“There are two types of security. One, you talk about physical security which is to catch bad guys and track down bad guys. And then the other security is cyber security things like that. It’s no secret that the number of attacks that bad guys are trying is going up exponentially. People are tracking all that data and trying to find the source of it. The more samplings you get, the better you are at finding the source.”

Bruce also went to explain that the unique value that ViON brings to the market place and how they differentiate from their competitors.

“We are mid-level systems integrator with no ties. We’re a trusted adviser to the government. We are not tied to a particular vendor or manufacturer for disk products, server products, network products etc. We tend to focus in the enterprise, the larger system environment (the intelligence community being on them) so we don’t bring any biases to providing services to the government. That’s a differentiator where most of competitors are really reselling one brand and one brand only.”

Bruce also thinks that Big Data analytics for the security industry all boils down to catching bad guys and having up-to-date information, because people tend to move around. He cited Medicure and Medicaid fraud as an example of how Big Data can help track down where the fraudulent checks are coming from and who’s behind the transactions.

“Preeminently, performance is driving them towards flash and the more data you can put into your analytics. If you’re basing your analytics in a sampling of a hundred transactions as opposed to a million transactions, you’re answer’s going to be much different but you need speed on that.”