MIT’s digital lookout in the crows nest of cyber warfare

Existing threat-detection systems broadly fall into two categories: a software bot that can detect patterns and human analysis. AI2’s gimmick is that it mashes together a handful of different machine learning tools and asks its flesh-and-blood counterparts for help. When it thinks it’s found a pattern amongst the noise of data, it offers it up to a person for a second opinion. After a short period of time, AI2 will learn from its errors and what the human experts are telling it. As Arnaldo says, “it continuously generates new models that it can refine in as little as two hours.” On its first day of operation, AI2 flagged 200 events that it determined to be a cyberattack to its masters. After a handful of days picking up the dos and…


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