The trope of future cybersecurity as a battle between warring artificial intelligences awaits the development of artificial general intelligence. In the interim, however, machine learning is being applied to several cybersecurity problem sets. This article looks more closely at how machine learning is transforming cybersecurity, considering the examples of authentication and masquerade, spam filtering and spam, antimalware and malware, and intrusion detection and intrusion. Machine learning is adding new capabilities for cyber defense and in most cases is useful in conjunction with other approaches. At present, machine learning applications for cyber offense remain primarily proofs of concept.
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