Immune System Extends to Virtualized Environments with Darktrace vSensors
Enterprise Immune System Benefits from Added Visibility of Virtual Machine Traffic
Darktrace, the leader in Enterprise Immune System technology, has announced that it now works in virtualized environments, with the launch of Darktrace’s ‘vSensor’ virtual appliance.
Darktrace’s flagship Enterprise Immune System is powered by machine learning and mathematics developed at the University of Cambridge, and allows organizations to identify in-progress cyber-threats, including insider threat, in real time within the network. With the launch of Darktrace vSensors, this self-learning technology has now been extended to virtualized environments, increasing organizational visibility and enhancing the ability to detect subtle and long-running anomalous activity.
Darktrace’s vSensors are virtual appliances configured to receive a SPAN for the virtual network switch. Easily installed within a virtual machine, they allow for the intelligent capture of traffic between virtual machines (VMs), without a single packet being lost. Only relevant metadata is extracted, with 1% of raw network traffic ingested being sent to the master Darktrace appliance, for analysis.
- Easy to install
- Captures 100% of inter-VM traffic
- Extracts only relevant metadata
- Optimizes disk space by storing packet capture on a rolling basis
- Minimal impact on server performance
- Fully scalable
Darktrace vSensors are a critical capability for organizations with multiple virtual machines in owned hardware servers, and organizations with multiple remote locations. For the first time, it gives the Enterprise Immune System the ability to see data moving within these locations and strengthens Darktrace’s visibility of all digital interactions.
For more information, click here to request the Darktrace Virtualized Environments data sheet.
Named ‘Technology Pioneer’ by the World Economic Forum, Darktrace is one of the world’s leading cyber threat defense companies. Its Enterprise Immune System technology detects previously unidentified threats in real time, powered by machine learning and mathematics developed at the University of Cambridge, which analyze the behavior of every device, user and network within an organization. Some of the world’s largest corporations rely on Darktrace’s self-learning appliance in sectors including energy and utilities, financial services, telecommunications, healthcare, manufacturing, retail and transportation. The company was founded in 2013 by leading machine learning specialists and government intelligence experts, and is headquartered in Cambridge, UK and San Francisco, including offices in Auckland, Boston, Chicago, Dallas, London, Los Angeles, Milan, Mumbai, New York, Paris, Seoul, Singapore, Sydney, Tokyo, Toronto and Washington D.C.