Machine learning (ML) models establish a "normal" baseline for network traffic and user behavior, immediately flagging deviations that could signify a breach or insider threat.
By analyzing historical attack patterns, data scientists can forecast future vulnerabilities and "kill chains," allowing teams to patch systems before an exploit occurs.
Data science provides the analytical engine to process the "Three Vs" of big data——which are common in network logs and user activity.