MIT's AI can predict 85 per cent of cyberattacks

A new artificial intelligence system developed by researchers at MIT merges human and machine capabilities to hunt potential cyber-attacks and weed out false positives. Called AI2, the platform acts as a virtual analyst and has so far proven its ability to detect 85 percent of attacks. As the system presents its findings to human analysts, feedback is incorporated to continually improve its detection rates. A new artificial intelligence system developed by researchers at MIT merges human and machine capabilities to hunt potential cyber-attacks and weed out false positives. This allows it to detect suspicious activity, which is then presented to the human analysts for confirmation.