Machine learning can also aid the cyber enemy: NSA research head
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http://en.wikipedia.org/wiki/NSA
Machine learning is one of the biggest buzzwords in cybersecurity in 2017. But a sufficiently smart adversary can exploit what the machine learning algorithm does, and reduce the quality of decision-making.
"The concern about this is that one might find that an adversary is able to control, in a big-data environment, enough of that data that they can feed you in misdirection," said Dr Deborah Frincke, head of the Research Directorate (RD) of the US National Security Agency/Central Security Service (NSA/CSS).
Adversarial machine learning, as Frincke called it, is "a thing that we're starting to see emerge, a bit, in the wild". It's a path that we might reasonably believe will continue, she said.
