International cyber security company, Darktrace, will discuss how artificial intelligence algorithms and genuine machine learning will be essential to combat the evolving cyber-threat at CeBIT Australia, at the International Convention Centre Sydney on 23 May 2017.
Created by mathematicians from the University of Cambridge, the Enterprise Immune System uses AI algorithms to automatically detect and take action against cyber-threats within all types of networks, including physical, cloud and virtualised networks, as well as IoT and industrial control systems.
In addition to his speaking session, Sanjay Aurora, Darktrace Managing Director for Asia-Pacific, will present a live demonstration of Darktrace’s Threat Visualiser – a unique 3D interface that provides security personnel with full network visibility, allowing them to identify emerging threats, including zero-days and inside attackers, in real time.
“Every day we see human security teams overwhelmed by novel and sophisticated cyber-threats,” says Aurora. “From brazen and fast-moving attacks like ransomware, to slow and stealthy threats able to subtly change data, organisations are at more risk than ever.
“Traditional security focused on building higher walls, but in this new age of threat, companies need to assume the threat is already inside and fight back with advanced technology to avoid crisis.”
“Darktrace’s Enterprise Immune System is powered by unsupervised machine learning and has reported over 30,000 serious cyber incidents in over 2,000 deployments across the world. Just like how the human immune system defends against dangerous pathogens, Darktrace models the ‘pattern of life’ for every user, device and network as a whole and identifies abnormal behaviours that need to be investigated.”