MIT builds AI bot that spots ’85 per cent’ of hacker invasions

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) claim they have trained a machine-learning system to detect 85 per cent of network attacks.

To reach that level, the software, dubbed AI2 [PDF], parsed billions of lines of log files, looking for behaviors that indicate either a malware infection or a human hacker trying to get into a network. If it spotted any suspicious connections or activity, it alerted a human analyst, who identified whether the software got it right or wrong.