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MIT's New AI May Help Prevent Cyberattacks

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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. 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 AI hacker that can predict 85 per cent of cyberattacks

Daily Mail - Science & tech

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.


MIT's AI can predict 85 per cent of cyberattacks

#artificialintelligence

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.


Humans and AI work together to predict cyber attacks ITProPortal.com

#artificialintelligence

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have collaborated alongside the machine learning startup PatternEx to demonstrate how an artificial intelligence platform that makes use of continuous input from human experts would be able to predict cyber attacks better than the systems that exist today. CSAIL and PatternEx are calling their new AI platform AI² due to how it combines the intuition of analysts with artificial intelligence. Previously'analyst-driven solutions' relied on the rules created by security experts which resulted in attacks that did not correspond to their rules slipping through the cracks. The machine learning approach to cyber-security relies on'anomaly detection' to discover possible attacks but often results in false positives. CSAIL and PatternEx created AI² by combining machine learning's ability to detect anomalies with the knowledge of analysts to flag possible threats.


System predicts 85 percent of cyber-attacks using input from human experts

#artificialintelligence

Isn't it cool if we could predict cyber attacks before it happens? Predicting cyber attacks before it happens can help to prevent it. A Scientist team at Massachusetts Institute of Technology have developed an Artificial Intelligence system that can detect and stop almost 85% of cyber attacks with a little human help. This Advanced intelligent system is known as AI2. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the machine-learning startup ParrernEx have demonstrated an artificial intelligence platform knows AI2.