This document features case studies of alerts raised in real industrial networks where Darktrace Industrial was deployed.
Powered by unsupervised machine learning and AI, Darktrace Industrial autonomously learns ‘normal’ behaviors and can identify genuine cyber-threats at a very early stage, before they develop into a crisis and cause material harm. This ‘immune system’ approach is capable of detecting all forms of potentially threatening behavior, including malicious attacks, accidental errors, and insider threats.
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