The battle of algorithms: Uncovering offensive AI

As machine-learning purposes transfer into the mainstream, a brand new period of cyber risk is rising—one which makes use of offensive synthetic intelligence (AI) to supercharge assault campaigns. Offensive AI permits attackers to automate reconnaissance, craft tailor-made impersonation assaults, and even self-propagate to keep away from detection. Safety groups can put together by turning to defensive AI to struggle again—utilizing autonomous cyber protection that learns on the job to detect and reply to even essentially the most refined indicators of an assault, irrespective of the place it seems.

Marcy Rizzo, of MIT Know-how Evaluate, interviews Darktrace’s Marcus Fowler and Max Heinemeyer in January 2021.

MIT Know-how Evaluate not too long ago sat down with consultants from Darktrace—Marcus Fowler, director of strategic risk, and Max Heinemeyer, director of risk searching—to focus on the present and rising purposes of offensive AI, defensive AI, and the continued battle of algorithms between the 2.   

Signal as much as watch the webcast.

This content material was produced by Insights, the customized content material arm of MIT Know-how Evaluate. It was not written by MIT Know-how Evaluate’s editorial employees.

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