Big Data: Breaking Down Silos

Using big data to fight fraud is a challenge for most organizations. Andreas Baumhof of ThreatMetrix explains how context-based authentication combines fraud and security to leverage the use of big data.

Baumhof, chief technology officer at the security solutions vendor, says there has been a shift in organizations, and it's resulting in bringing together different team members.

"Security and fraud, traditionally two different departments within the enterprise, now have a platform to provide a collaboration," he says.

Typically, there are boundaries or silos separating security and fraud organizations, but big data solutions can leverage information from one pool and provide benefits for all areas, Baumhof says.

A context-based authentication solution can help in the process. By using more than just credentials, a solution can inform organizations of who is a good customer and who is a potential fraudster.

In an interview recorded at the Gartner Security & Risk Management Summit, Baumhof discusses:

• How big data works with traditional security solutions;
• The emerging business value of big data;
• Big data trends to watch.

Baumhof is an expert in encryption, PKI, malware and phishing. Before joining ThreatMetrix, Baumhof was an executive director, CEO and co-founder of Australian-based TrustDefender, a provider of security and fraud detection technologies. Baumhof previously served as co-founder and chief technology officer of Microdasys Inc., a provider of deep content security solutions. While there, he developed the first SSL proxy and has patents pending in Europe and the U.S.

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