Big data will soon usher in a new age of cyber security, according to a new study by Gartner.
Gartner found that by 2016, more than 25 per cent of global firms will adopt big data analytics for at least one security and fraud detection use case, up from the current eight per cent.
The research firm have also determined that a new paradigm based on predictive models will play a crucial role in preventing cyber crime, protecting networks and keeping prying data thieves away from a company's sensitive data.
Big data analytics enables enterprises to combine and correlate external and internal information. It has seen a remarkable boom in recent years, as the deluge of new and complex data coming in from social media and mobile devices.
Avivah Litan, vice president and head analyst at Gartner wrote in a blog post that big data was allowing companies to see a bigger picture of threats against their enterprises. According to Litan, it is applicable in many security and fraud use cases such as detection of advanced threats, insider threats and account takeover.
Litan argued that whereas in the past enterprise has relied on "siloed monitoring or detection systems that were optimized for various use cases, such as data loss, financial fraud, or privileged user monitoring," the new age of big data will allow companies to "Cut down on the noise and false alerts in existing monitoring systems"; "Pool their internal data and relevant external data" and "Correlate the resulting high-priority alerts across monitoring systems."
However, business is only just beginning to implement the potential of big data, according to Litan.
"Most vendors have barely begun to prove their software's effectiveness," she wrote.
If you want to learn how to get on board with the big data boom, check out our guide on how to learn Hadoop like a boss.