This white paper explains how Vectra AI’s Cognito platform uses advanced data science to detect cyber threats in real time. It combines global learning (using supervised machine learning like random forests), local learning (with unsupervised models such as K-means clustering), and integrated intelligence (via Bayesian networks) to recognize attack patterns and assess risk. By analyzing packet-level behavior, Cognito identifies command-and-control traffic, stolen credentials, and staged exfiltration across cloud and on-premises environments. This approach helps prioritize high-risk hosts and multistage threats to support faster and more accurate security responses.

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