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March 2017, Vol. 19, No. 2

Machine learning in security explodes: Does it work?

Machine learning in security is continuing to advance, and many companies now claim to have introduced artificial intelligence techniques into their platforms. With the high volume of data that most security teams have to prioritize, machine learning in security technology is increasingly being adopted as a way to reduce the noise that traditional security products produce.

Smaller companies, such as Keen Footwear, have turned to threat platforms that incorporate machine learning and AI techniques -- and soon automated defense -- to solve a variety of problems. "I don't need to go hire someone dedicated to security," said Clark Flannery, director of IT at Keen's headquarters in Portland, Ore. "It just feels like a whole team back there -- who are way more qualified than [staff] I would be able to pay."

With security professionals in short supply, companies like Keen are relying on these technologies to make it easier to spot and respond to attacks. While machine learning and artificial intelligence are often used interchangeably, the concepts are different. In this issue of Information Security magazine, we discuss the nuances and dive into the current state of the technology. Machine learning in security offers information security analysts more depth of knowledge, helping to detect patterns and related analysis they may not otherwise have known about.

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