Organizations using semantics and big data tools are creating a new position called data scientist to help uncover fraud and identify undetected vulnerabilities. Here are profiles of three leaders who have embraced this role.
Information security isn't just the domain of those branded information security professionals but also requires the knowledge of nearly every other IT occupation as well as individuals in many non-technology jobs, too.
A data scientist is a new breed of database professional who applies scientific analysis to large data sets to identify patterns and vulnerabilities. Here are five expert tips on how to qualify for the new role.
People receiving IT security graduate degrees are highly educated, but as the Center for Internet Security's William Pelgrin says, "We have a deficit of those individuals who can pick up the ball and run with it very quickly." He's doing something about that.
"Without combining relevant data sets impacting the network, security professionals will fail in characterizing threats and targeted intruder activity," says Ed Stoner, a senior Carnegie Mellon researcher.
LinkedIn contends it had on staff world-class security experts when nearly 6.5 million members' hashed passwords were pilfered, although the social media company has neither a chief information officer nor chief information security officer.
Georgia Tech Research Institute is beta testing a malware intelligence system that research scientist Chris Smoak contends will help corporate and government security officials share information about the attacks they confront.