A system called AI2, developed at MIT’s Computer Science and Artificial Intelligence Laboratory, reviews data from tens of millions of log lines each day and pinpoints anything suspicious. A human takes it from there, checking for signs of a breach. The one-two punch identifies 86 percent of attacks while sparing analysts the tedium of chasing bogus leads.

Source: MIT’s Teaching AI How to Help Stop Cyberattacks | WIRED