Neither humans nor A.I. has proven overwhelmingly successful at maintaining cybersecurity on their own, so why not see what happens when you combine the two? That’s exactly the premise of a new project from MIT, and it’s achieved some impressive results.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and machine-learning startup PatternEx have developed a new platform called A.I.² that can detect 85 percent of attacks. It also reduces the number of “false positives” — nonthreats mistakenly identified as threats — by a factor of five, the researchers said.

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