The Enterprise Immune System

Powered by machine learning and mathematics, the Enterprise Immune System detects emerging threats inside the network – without rules or signatures.

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Machine Learning and Mathematics

Darktrace is proven to detect the cyber-threats that go unnoticed by all other security tools, using world-class machine learning and probabilistic mathematics.

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Self-Learning Cyber Defense

Capable of identifying and responding to all forms of internal threats, Darktrace works across physical, virtual and cloud environments, and scales to over 1 million devices.

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2,000 deployments

Deployed over 2,000 times across 60 countries, Darktrace is the de facto technology for self-learning threat detection and response.

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Latest News
Retailers Increasingly Adopting Darktrace, Including KEEN Footwear, Chantecler and Trek Bicycles
“Darktrace acts faster than any security practitioner to prevent damage from attacks such as ransomware.”
— 451 Research

Darktrace is a world leader in Enterprise Immune System technology for cyber security.

Powered by machine learning developed by mathematicians from the University of Cambridge, Darktrace’s Enterprise Immune System is the only technology capable of detecting and responding to emerging cyber-threats, from within the network.

Our self-learning approach is inspired by the biological principles of the human immune system, identifying never-seen-before anomalies in real time, including insider threat and sophisticated attackers - without using rules, signatures or assumptions.

With over 2,000 deployments in more than 60 countries, Darktrace’s self-learning software is recognized as the de facto standard for defending organizations of all sizes from constantly-evolving threats.

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“Darktrace is a game-changer”
Louis Kangurs, Head of IT Services, Virgin Trains
“The day Darktrace deployed, we saw immediate return on investment.”
Laura Whitt-Winyard, Director of Information Security, Billtrust
“Machine learning can detect things that we can’t predict and define.”
Stuart Berman, Information Security Architect, Steelcase
“Darktrace detects threats without having to define the activity in advance.”
Michael Sherwood, CIO, City of Las Vegas
“Darktrace can detect threats that no other security tool would find. It’s unique.”
Will Bailey, Director of IT, Catholic Charities of Santa Clara County
“Darktrace’s Enterprise Immune System has increased efficiency tenfold. We previously needed three tools to tell us what Darktrace’s Enterprise Immune System tells us on its own.”
Vari Bindra, Head of Cyber Defense Center, Blackhawk Network
“Darktrace makes everything simple.”
Patrick Conreaux, CISO, Apave
“Darktrace’s machine learning and mathematics are extremely powerful in detecting activity that is abnormal.”
Mark Hughes, President, BT Security
“With Darktrace, we can see threats earlier or as they are happening.”
Mark Vivian, Head of IT Security, Irwin Mitchell
“I’ve been in software for 25 years and I’ve been blown away by Darktrace. It assures us nothing malicious is on our network.”
Albert Marsden, IT Director, Bassadone Group
“The Threat Visualizer is intuitive and impressive.”
Patrick Conreaux, CISO, Apave
Gartner Cool Vendor 2015
GSN Homeland Security Awards 2016
The Techies 2016
Info Security Global Excellence Awards 2016
Computing Security Excellence Awards 2016
UK IT Industry Awards 2016
UK Tech Awards 2016
Investor Allstars 2016
Global Business Excellence Awards 2016
Computing Vendor Excellence Awards 2016
Cyber Security Awards 2016
Frost & Sullivan APAC ICT Awards 2016
The Europas 2016
Network Products Guide IT World Awards 2016
The American Business Awards (The Stevies®) 2015
Queen’s Award for Enterprise Innovation 2016
World Economic Forum Technology Pioneer 2015
Cyber Defence Magazine: Editor’s Choice 2016
2015 Trophées de l’Innovation IT
Bloomberg Business Innovator 2016
2015 Golden Bridge Business and Innovation Awards
Find out how Darktrace's unique approach can protect your enterprise or industrial systems from cyber threat.
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Europe: +44 (0) 1223 394124
Asia-Pacific: +65 6248 4516
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