MIT’s New AI May Help Prevent Cyberattacks

Researchers from MIT and machine learning startup PatternEx combined machine learning algorithms-based systems and human expertise in new cybersecurity AI platform AI2. This innovation is said to detect cyberattacks 85 percent of the time.(Photo : MIT CSAIL) Cybersecurity today is executed by either humans or machines, which could have their own challenges – missed attacks because the parameters don’t match rules set by human experts, or systems mistakenly zeroing in on non-threats. So why not combine humans and AI to get the best of both worlds? This is what researchers from the Massachusetts Institute of Technology accomplished with its new artificial intelligence system called AI2. The team from the university’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and machine-learning startup PatternEx developed the new platform that can identify cyberattacks 85…


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