Darktrace combines unsupervised and supervised machine learning to detect cyber threats in real time without prior knowledge. Its unsupervised AI learns a dynamic baseline of “normal” behavior across digital environments, identifying anomalies like zero-day attacks and insider threats. Supervised learning adds precision by labeling known threats and supporting investigations. The system applies Bayesian probability and deep learning to model patterns, automate response, and adapt continuously. This hybrid AI approach enables autonomous, contextual detection and response to evolving cyber risks across networks, cloud, SaaS, IoT, and email systems.

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