Industrial Control Systems (ICS) are indispensable for critical national infrastructures, from energy and water supplies to transportation networks and manufacturing plants. Historically, these systems have been ‘air-gapped’, protected from outside attacks by being physically isolated from the corporate enterprise network.
The IT and Operational Technology (OT) systems are converging, however, driven by the economic pressures of globalization, and the competitive advantages that stem from the integration of these disciplines, such as cost reduction through remote management, and business optimization using data transfered between IT and OT environments.
This convergence comes at the cost of increasing vulnerability to the kinds of cyber attacks more commonly found in IT environments. Examples such as the Stuxnet virus and the hack of a German steel mill in 2014 show the extent of the possible damage that such attacks can cause.
Darktrace’s Industrial Immune System for ICS is a fundamental innovation that implements a real-time “immune system” for operational technologies, using groundbreaking advances in Bayesian probability theory to create an understanding of the normal behavior of users and devices within the ICS, allowing organizations to detect emerging threats without having to define in advance what the threat might be, and to respond to them before a crisis occurs.
Real-time threat detection for Industrial Control Systems (ICS)
Powered by machine learning and Bayesian mathematics
Learns normal and abnormal behavior for users and devices
Protects against internal and external cyber attacks