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Cyber security looks to have a future that is part machine, part man according to researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), currently working with new machine-learning company PatternEx.
A new MIT paper suggests that its prototype system, A12, combines human analysis with machine learning, and results in an 85% success rate for predicting attacks.
Among the first issues to be confronted is how far machine learning has to go until it has reached its full spec with regards to security problem solving. The British Standard Institution’s (BSI) chief of manufacturing, Dan Palmer, does not believe that that is the right question to ask, however. He sees it as more of a need to maintain a lead in the race with malicious actors and having the necessary tools to tackle cyber threats.
Palmer, told SCMagazineUK.com
“It’s worth noting that nation states, cyber-criminals and others have consistently innovated and will use machine learning to improve their techniques, while autonomous systems are in their infancy it is important that those involved in their development pay close attention to the issues of ethics.”
Having the right tools is certainly an important factor in the cyber war. However, they are useless at this stage, where man is very much in the driving seat, without the right personnel in place. The bottom line is that today’s SME needs to place more emphasis on their IT security recruitment strategy if they wish to maintain the security of their systems and data.
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