Why Big Data and Machine Learning are Essential for Cyber Security - insideBIGDATA

As cyber threats continue to evolve, big data and machine learning are increasingly necessary for a strong cyber security strategy. Will Cappelli, vice president of research at Gartner, says that companies are combining big data and machine learning capabilities as part of a more powerful approach to cyber security. In terms of market size, Gartner estimates that in 2016 the world spent approximately $800 million on the application of big data and machine learning technologies to security use cases," he explains. The idea is to deploy a platform that aggregates and manages big data, and to combine this with a machine learning algorithm that analyzes this data to uncover hidden patterns and detect threats. As cyber security strategies evolve to protect against hackers, hackers are developing increasingly sophisticated strategies to bypass these protections.