MIT scientists have built an AI that can detect 85% of cyber attacks — but it still needs human help

Flickr/Ben Husmann Scientists at Massachusetts Institute of Technology (MIT) claim they have created an AI that can detect 85% of cyber attacks — albeit with the help of humans. The “AI2” algorithm, developed by MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) and machine learning startup PatternEx, can reportedly detect cyber attacks three times more effectively than today’s current systems. AI2 has been tested on 3.6 billion pieces of data, known as “log lines,” which were created over a three month period by millions of people. In order to predict attacks, AI2 scans sets of data and identifies suspicious activity. It does this by clustering the data into meaningful patterns using unsupervised machine-learning, according to MIT. This activity is presented to human analysts who then confirm which events are cyber…


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