Darktrace is the world’s leading machine learning company for cyber security, having developed AI algorithms that mimic the human immune system to defend enterprise networks of all types and sizes. Created by mathematicians from the University of Cambridge, Darktrace’s Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal’ for all devices and users, updating its understanding as the environment changes.
By applying its unique, unsupervised machine learning, Darktrace has identified 48,000 previously unknown threats in over 30,00 networks, including zero-days, insider threats and subtle, stealthy attacks. The company has experienced 600% year-on-year revenue growth. With 500 employees in 24 offices and dual headquarters in San Francisco and Cambridge UK, Darktrace was named ‘Most Innovative Security Company of the Year 2017,’ ‘Bloomberg Innovator,’ and ‘GSN Homeland Security’ award winner. The company’s valuation is $.5 billion and its investors include KKR, Softbank, Summit, Invoke Capital, and Samsung.
The Enterprise Immune System is the world’s most advanced machine learning technology for cyber defense. Inspired by the self-learning intelligence of the human immune system, this new class of technology has enabled a fundamental shift in the way organizations defend themselves, amid a new era of sophisticated and pervasive cyber-threats. Powered by machine learning and AI algorithms, Enterprise Immune System technology iteratively learns a unique ‘pattern of life’ (‘self’) for every device and user on a network, and correlates these insights in order to spot emerging threats that would otherwise go unnoticed. Like the human immune system, the Enterprise Immune System does not require previous experience of a threat or pattern of activity in order to understand that it is potentially threatening. It works automatically, without prior knowledge or signatures, detecting and fighting back against subtle, stealthy attacks inside the network — in real time.
Consult the demo description on this link.