MIT Artificial Intelligence Can Predict 85% of Cyber-Attacks

A new artificial intelligence (AI) system being developed at MIT's Computer Science and Artificial Intelligence Laboratory is being trained by researchers to aid humans in identifying potential cyber-attacks. Typically, when trying to pinpoint possible attacks, analysts are required to sift through massive amounts of data to find abnormalities and discrepancies--a method that is time-consuming and tedious. Anchored on the idea that AI never gets tired, the new computer based method means that humans can identify cyber-attacks more efficiently. AI2 for instance--MIT's new system, which honed its ability to identify threats after reviewing three months worth of log data from an unidentified ecommerce platform--can review millions of log lines every day. Once it spots something suspicious, a human can then take over and promptly check for possible signs of a security breach.