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.
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.
Big data isn't about size, says Gartner's Neil MacDonald. It's much bigger: Big data is about volume, velocity, variety and complexity, and requires new approaches on how information is used to secure digital assets.
Securing the massive amounts of data swamping organizations, a trend known as big data, can be addressed, in part, by organizations simply getting rid of data no longer needed, Grant Thornton's Danny Miller says.
Challenged by sophisticated threats and the complexity and cost of security, global leaders wonder: "Is my organization going to be the next breach headline?" IBM's Latha Maripuri discusses global trends.
When it comes to fraud prevention, things are going to be different in 2011. It's clear that fraud in the United States has reached a tipping point, and financial institutions are at the center of it all.