Report: Automated Threat Detection Helps Fulfill Critical Security Controls

SANS Institute Reveals That Automated Threat Detection Helps Fulfill Protection Goals of Critical Security Controls — SANS Report States Data Science and Machine Learning Complement and Improve Traditional Security Methods to Meet Security Goals Defined within the Critical Security Controls SAN JOSE, Calif., Dec. 8, 2015 — Vectra® Networks, the leader in real-time detection of in-progress cyber-attacks, today with the SANS Institute, announced that recent findings by SANS reveal that automated network threat detection using data science, machine learning and behavioral analysis can complement or improve traditional security methods to fulfill goals defined within the Critical Security Controls (CSCs). “Automated threat detection is making inroads to identify new patterns, detect events that may not match a specific signature, and determine behavioral abnormalities,” wrote Barbara Filkins, senior SANS analyst, in the…


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