MIT’s Teaching AI How to Help Stop Cyberattacks

Finding evidence that someone compromised your cyber defenses is a grind. Sifting through all of the data to find abnormalities takes a lot of time and effort, and analysts can only work so many hours a day. But an AI never gets tired, and can work with humans to deliver far better results.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. That balance is critical. Relying entirely upon machine learning to spot abnormalities inevitably will reveal code oddities that aren’t actually…


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