Artificial intelligence system predicts cyber attacks using human input

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), and a machine-learning startup, PatternEx, have developed a virtual artificial intelligence analyst that can predict 85% of cyber-attacks using input from humans. As a way to address some of the challenges security analysts face, researchers from CSAIL and PatternEx presented a paper on a new artificial intelligence platform called AI2 They found that their system is able to detect cyberattacks more frequently because it is continuously incorporating input from human analysts. (Related: Companies team up on e-mail security) There are several problems that currently exist in today’s state of cybersecurity. One major problem includes the lack of qualified security analysts in the market. It is critical to increase analyst efficiency, but existing tools generate too many false positives that create…


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