Darktrace Enterprise Immune System
AI-based network threat detection using unsupervised machine learning.
Darktrace Enterprise Immune System
AI-based network threat detection using unsupervised machine learning.
Data verified May 2026
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The Darktrace Enterprise Immune System is an AI-driven network security platform developed by mathematicians from the University of Cambridge. It applies unsupervised machine learning algorithms modeled on the human immune system to detect threats across enterprise networks. The platform operates across a broad range of network environments, including physical, virtualized, cloud, IoT, and industrial control systems. By continuously learning the normal behavior of a network, it identifies anomalies and previously unknown threats without relying on predefined signatures or rules. Key capabilities include detection of zero-day threats, insider threats, and stealthy attacks. The system provides a Threat Visualizer interface for real-time visibility into network activity. Darktrace offers a 4-week Proof of Value (POV) engagement, during which an appliance is installed within the customer's environment in one day. During the POV, customers receive three weekly Threat Intelligence Reports produced by Darktrace analysts, covering incidents and anomalies discovered by the system.
Darktrace Enterprise Immune System FAQ
Common questions about Darktrace Enterprise Immune System including features, pricing, alternatives, and user reviews.
Darktrace Enterprise Immune System is AI-based network threat detection using unsupervised machine learning, developed by Barricade IT Security. It is a Network Security solution designed to help security teams with Anomaly Detection, Zero Day, IOT Security.
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