Press Release

April 14, 2023 11:42 AM

Updated statement regarding LockBit claims

Mike Beck, Chief Information Security Officer, Darktrace

We have completed a thorough security investigation following yesterday’s tweets by LockBit claiming they had compromised Darktrace’s internal systems. We can confirm that there has been no compromise of our systems or any of our affiliate systems. Our service to our customers remains uninterrupted and is operating as normal and no further action is required.

Press Release

April 13, 2023 9:30 AM

Statement regarding LockBit claims

Earlier this morning we became aware of tweets from LockBit, the cyber-criminal gang, claiming that they had compromised Darktrace’s internal security systems and had accessed our data. Our security teams have run a full review of our internal systems and can see no evidence of compromise. None of the LockBit social media posts link to any compromised Darktrace data. We will continue to monitor the situation extremely closely, but based on our current investigations we are confident that our systems remain secure and all customer data is fully protected.


Press Release

One of Europe's Most Prestigious Cosmetics Brands Selects Darktrace

Enterprise Immune System Helps Protect Top Cosmetics Company’s Intellectual Property
Cambridge, UK
November 17, 2015
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One of Europe's Most Prestigious Cosmetics Brands Selects Darktrace

November 17, 2015

Darktrace, the leader in Enterprise Immune System technology, announces today that one of Europe’s most prestigious cosmetics brands is using cutting-edge Enterprise Immune System technology in order to enhance its cyber security.

Based in Europe, the company distributes its prestigious beauty products worldwide and draws the majority of its revenue from export. Using unique recipes, the company considers the protection of its intellectual property as a priority, and was looking for a technology that would help reduce the risk to its critical information, and protect the brand reputation in the long term.

Following a four-week trial, it decided to deploy Darktrace’s Enterprise Immune System, due to this technology’s unique ability to detect new and emerging threats, which have not previously been encountered, from inside the network. Unlike perimeter defences, Darktrace’s self-learning technology provides the company’s security team with a 24/7 visual overview of its networks and is capable of uncovering anomalous behaviors that are unseen by conventional security tools.

“This global leader has a strong heritage as a visionary company and its commitment to cyber security reflects this forward-thinking mentality. It is dedicated to protecting its critical information, not only by trying to block threats, but also protecting against unpredictable activities inside the organization that may cause damage,” said Nick Trim, Managing Director EMEA, Darktrace. “Darktrace’s machine learning and mathematics mean that we can address this difficult challenge, by highlighting anomalous behaviors in real time, without making assumptions about what ‘bad’ looks like.”

About Darktrace

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.

About Darktrace

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