MIT researchers develop 85%-effective cyber-security system that uses input from humans

New York City – Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) demonstrated a new model named AI2 that predicts cyber attacks at a significantly higher rate than currently used systems. This model, which combines the machine-learning startup PatternEx with input from living experts, was presented at IEE International Conference on Big Data Security in New York City last week. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) demonstrated a new model named AI2 that predicts cyber attacks at a significantly higher rate than currently used systems. Photo credit: Zenedge The security systems normally used today tend to fail because they rely just on rules created by human experts and miss all those attacks that simply don’t match those rules. Such systems are known as “analyst-driven…


Link to Full Article: MIT researchers develop 85%-effective cyber-security system that uses input from humans