Machine learning, cyber defence explored by Darktrace at CeBIT


Thursday, 02 March, 2017

Machine learning, cyber defence explored by Darktrace at CeBIT

The topic of artificial intelligence algorithms and genuine machine learning will be explored by Darktrace at the CeBIT Australia conference.

The company will focus on how these elements can be used in combating the ever-evolving cyber threat.

“Every day we see human security teams overwhelmed by novel and sophisticated cyber threats. 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,” said Sanjay Aurora, Darktrace managing director for Asia-Pacific.

“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 is a machine learning company for cybersecurity. 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 at CeBIT, Sanjay Aurora will present a live demonstration of Darktrace’s Threat Visualizer. This is 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.

“I am looking forward to presenting at CeBIT Australia and to discussing how machine learning is reshaping the cybersecurity landscape. Darktrace’s Enterprise Immune System is powered by unsupervised machine learning and has reported over 30,000 serious cyber incidents in over 2000 deployments across the world,” said Aurora.

“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.”

Aurora will present ‘The Enterprise Immune System: Using machine learning for next generation cyber defence’ at CeBIT Australia, 23–25 May 2017, which will be held for the first time at the International Convention Centre Sydney, Darling Harbour.

Over three days, CeBIT Australia offers the opportunity to hear from the world’s elite, and the ability to connect with thousands of visitors from Australia’s top companies as well as over 350 exhibitors including 100 disruptive start-up innovators.

Image credit: ©stock.adobe.com/au/Glebstock

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