Friday, January 27, 2017

Machine Learning and Online Security in 2017 - Doug Black, Enterprise Tech

As companies increase their digital footprints, ‘identify and diagnose’ capabilities will not defend against the growing array of security threats, according to analysts at Gartner Group. Because the types of data ingested by analytics packages are evolving from structured to hybrid data–containing text, objects and other formats– the market will respond to that transition by offering packaged applications that utilize more powerful predictive and prescriptive analytics. Machine Learning (ML) and Artificial Intelligence (AI) (I use these terms interchangeably) continue to be hotly debated in security circles. The pessimists believe hackers will always outmaneuver ML, while the believers view AI as an essential companion to finding and displaying threat patterns in a complex, cloud-enhanced IT environment. While both sides have merit, the market itself is moving ahead with real-life ML applications in 2017.

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