VIDEO: Yinglian Xie, CEO and co-founder of DataVisor, discusses her firm's new technology that makes use of unsupervised analytics to combat online fraud.
There is an increasing consensus among security vendors and technology users that organizations can't always defend a perimeter against attacks, which is where big data analytics can play role. On March 7, DataVisor announced the general availability of its User Analytics Service that makes use of advanced analytics and big data techniques to track potential attacks inside of an organization.
In a video interview with eWEEK, Yinglian Xie, CEO and co-founder of DataVisor, details what her company's technology is all about and how it's different from other types of security analytics platforms already in market.
While DataVisor's platform is just now becoming generally available, it has been in beta with some early customers. Xie said that to date DataVisor has already processed half a trillion events and protected more than 400 million user accounts.
"We take anonymized customer data and then mine it to find meaning," Xie told eWEEK.
While DataVisor does provide the granular level of details about attacks, Xie emphasized that it is the platform's ability to provide a macro view of the attack landscape that helps to differentiate against other security analytics vendors.
"That's the true value of DataVisor," Xie said. "We are able to detect and correlate activity so attacks orchestrated by the same attackers are grouped together."
Watch the full video interview with Yinglian Xie, CEO of DataVisor, below:
Sean Michael Kerner is a senior editor at eWEEK and InternetNews.com. Follow him on Twitter @TechJournalist.