Darktrace, a provider of Enterprise Immune System technology, has extended its self-learning threat detection to third-party cloud environments. Powered by machine learning and mathematics developed at the University of Cambridge, the Enterprise Immune System would be unique in detecting emerging cyber-threats within networks, without using rules or signatures.
Delivered within an appliance that is installed at the heart of the network, Darktrace’s self-learning software is now complemented by total visibility of virtualized environments, including third-party cloud environments.
Darktrace’s vSensors and OS-Sensors extend Darktrace’s core visibility into the network to cloud environments, and enable organizations of all sizes to benefit from continual ‘immune system’ threat detection, wherever data is hosted. Darktrace customers use these new features to enhance their ability to identify critical anomalies and threats that exist within the infrastructure, and mitigate risk quickly.
Darktrace OS-Sensors are lightweight, host-based server agents that complement Darktrace’s virtual appliance, vSensors. OS-Sensors work by intelligently extracting copies of network traffic for analysis by the master Darktrace appliance, giving the Enterprise Immune System complete visibility of lateral information flow within the cloud, as well as within the physical network activity.
Benefits of Darktrace’s OS-Sensors for the cloud would include:
- Complete visibility – cloud and on-premise network data
- Fully configurable – see all or selected cloud traffic
- Lightweight and non-intrusive – easily installed onto virtual machines, without requiring access to the physical server
- Dynamic configuration – creates only single copies of network traffic, avoiding data duplication
OS-Sensors are compatible with all major hosting services including Amazon Web Services (AWS Cloud), Google Cloud Platform, Rackspace and Microsoft Azure. For more information, read the Darktrace Virtualized Environments data sheet at Darktrace Resources.
Darktrace was founded in 2013 by leading machine learning specialists and government intelligence experts, and is headquartered in Cambridge, UK and San Francisco, with worldwide offices located in Dallas, London, Milan, Melbourne, New York, Paris, Singapore, Tokyo, Toronto and Washington D.C.