AI²: Detecting Cyber-Attacks with Artificial Intelligence
In a new paper, researchers from CSAIL and the machine-learning start-up PatternEx have demonstrated an artificial-intelligence platform called “AI²” that can predict 85% of cyber-attacks, by continuously incorporating input from human experts.
To predict attacks, AI² combs through data and detects suspicious activity by clustering the data into meaningful patterns using unsupervised machine-learning. It then presents this activity to human analysts who confirm which events are actual attacks, and incorporates that feedback into its models for the next set of data.
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