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MIT builds Artificial Intelligence system that can detect 85% of Cyber Attacks

In Brief What if we could Predict when a cyber attack is going to occur before it actually happens and prevent it? Security researchers at MIT have developed a new Artificial Intelligence-based cyber security platform, called'AI2,' which has the ability to predict, detect, and stop 85% of Cyber Attacks with high accuracy. Cyber security is a major challenge in today's world, as government agencies, corporations and individuals have increasingly become victims of cyber attacks that are so rapidly finding new ways to threaten the Internet that it's hard for good guys to keep up with them. A group of researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) are working with machine-learning startup PatternEx to develop a line of defense against such cyber threats. The team has already developed an Artificial Intelligence system that can detect 85 percent of attacks by reviewing data from more than 3.6 Billion lines of log files each day and informs anything suspicious.