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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.

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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.


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Leading Canadian Automotive Company Selects Darktrace

Self-Learning Technology Deployed At Major Canadian Car Company
Cambridge, UK
December 10, 2015

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Leading Canadian Automotive Company Selects Darktrace

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December 10, 2015

Darktrace, the leader in Enterprise Immune System technology, announces that a major Canadian automotive company has deployed Darktrace’s Enterprise Immune System in order to defend its corporate systems against cyber-threats.

The company, a subsidiary of a global automotive conglomerate, exclusively manufactures and distributes a range of vehicle types of select brands across the country. As a producer of modern vehicle technologies, specific vehicle parts and provider of financial services to its large customer base, the company places great importance on the protection of its intellectual property and its long-term brand reputation in turn. Moreover, it manages a complex network of around 300 dealerships and 20,000 employees, and recognized the need for a technology capable of defending its internal assets efficiently within such a dynamic system.

Following a four-week Proof of Value (POV) trial period, the company decided to deploy Darktrace’s award-winning Enterprise Immune System due to its unique ability to detect emerging threats, from external and internal sources, as they occur. Powered by machine learning and probabilistic mathematics developed at the University of Cambridge, it models the behaviors of each user, device and the network as a whole to establish a ‘pattern of life’ for the organization. This allows it to spot anomalous activity in real time, which may be indicative of in-progress cyber-threats.

In addition, Darktrace’s Threat Visualizer interface provides the company with a 3D graphical overview of its network activity, enabling it to investigate threats as they occur, dynamically allocate human resources based on threat classifications and ultimately prioritize the most serious threats.

“It is great to see a leading Canadian company within the automotive sector prioritizing its cyber defense,” said Rob Sass, Managing Director USA, Darktrace. “To stay ahead of increasingly sophisticated cyber attackers in the current cyber landscape, organizations need to take a new approach to proactively defending their critical assets, including confidential customer data. Darktrace’s ‘immune system’ means that this company can stay abreast of new developments within its network, including insider incidents and potential cyber-attackers, and maintain its reputation as a leading brand in its field.”

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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