For the last three years, data center security company vArmour has been in stealth mode, raising capital and developing its product. Now, after a year of beta testing, the company is emerging. vArmour is part of a growing number of security companies that are developing products for a virtualized world. Rather than try to lock data into place on a single server, vArmour’s software looks at all of the data flowing into and out of the network.

Using big data analytics, vArmour identifies “clusters” of related threat probes and determines whether these communications are normal, suspicious, or a serious threat.

This approach is a lot less reliant on security analysts to make connections between data points, cutting down on human error. Instead the software gives security analysts enough information, tagged and organized, to make fast decisions about potential threats. vArmour’s software also aims to give analysts a much fuller view of what’s going on in their data centers.

A lot of data center security has focused on securing the perimeter, watching what goes in and out of the network, but not what goes on inside the network. So that if a threat were to sneak in undetected, it could make slow, calculated moves over the course of months without anyone really noticing.

More important than identifying threats, using big data to understand a data center’s ecosystem also lets users see employee errors — not just cyber threats. vArmour is just a touch ahead of the curve by leveraging big data in this way. In recent years, processing power has become strong enough to analyze large amounts of data quickly. Before, it would have taken too long or just been generally inefficient to do security this way. But now that the technology exists, the opportunity to develop new, more accurate, cyber security software is wide open. Since founding, vArmour has raised $42 million.

Source:  venturebeat.com