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

Darktrace Industrial Uses Machine Learning to Identify Cyber Campaigns Targeting Critical Infrastructure

New Business Unit and Technology Updates Launched in Wake of Warnings and Requirements Issued by U.S. and EU
Cambridge (UK) and San Francisco
November 7, 2017

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Darktrace Industrial Uses Machine Learning to Identify Cyber Campaigns Targeting Critical Infrastructure

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November 7, 2017

Darktrace, the world leader in machine learning technology for cyber defense, has today announced the creation of Darktrace Industrial, a new business unit dedicated to identifying emerging and existing compromises on industrial systems and critical infrastructure networks.

Cyber-threats to critical infrastructure are evolving at a pace that is nearly impossible to keep up with, and coupled with the escalated international attention to ICS threats, the security of our systems is our utmost business priority,” commented Michael Sherwood, Director of Technology and Innovation, City of Las Vegas. “Darktrace Industrial is fundamentally changing the game of ICS cyber defense – armed with its machine learning technology, we feel confident in our ability to identify the subtle and increasingly sophisticated attacks threatening our infrastructure. The Industrial Immune System’s combination of genuine AI and unprecedented visibility heralds a new future for proactively defending OT environments."

Threats to critical infrastructure are garnering worldwide attention. Recently, the U.S. government issued a rare public warning that sophisticated threat-actors are targeting energy and industrial firms. In addition, the European Union Network and Information Security (NIS) Directive introduced security requirements as legal obligations for operators providing essential services including industrial automation control systems and connected devices.

A product update, Darktrace Industrial Immune System version 3, can detect silent and subtle attacks on control systems with new capabilities including:

  • New mathematical techniques focused on detecting low and slow attacks
  • Powerful ways to analyze and visualize ICS zone structures
  • Improved detection of compliance breaches within OT environments
  • Expanded support for legacy industrial systems and non-traditional IT, such as IoT

Industrial environments, reliant on legacy bespoke systems, face new security challenges such as connected industrial devices, sensors, remote maintenance repair operations, and increasing connectivity to IT environments. Darktrace’s self-learning approach understands the normal ‘pattern of life’ for every operator and device automatically without requiring agents, or knowledge of operating systems.

Industrial control systems have long operated under ‘air-gap’ principles that assume their isolation from IT and publicly accessible networks. In reality, many are accessible from IT networks for control and integration,” commented Scott Crawford, Research Director for information security with 451 Research. “As ‘smart’ technologies become more integral to physical controls, their wide accessibility and connections to public networks are only likely to grow. This is an increasingly serious concern, considering the public and personal safety dependent on ICS, and the potential for disruption and catastrophic damage.”

“With increased digitization and the rise of the Industrial Internet of Things, the need for cyber security within operational environments has never been higher,” commented Andrew Tsonchev, Director of Technology at Darktrace Industrial. “Darktrace has a four-year investment in the Industrial Immune System, the world’s first and only proven machine learning technology capable of detecting emerging attacks on OT environments, including ‘low and slow’ attacks, and ‘unknown unknowns’. Darktrace Industrial will enable the accelerated adoption of this pioneering technology, which already defends some of the world’s most complex industrial control environments from nuclear plants to power grids.”

About Darktrace Industrial

Darktrace is the world’s leading machine learning company for cyber defense. Created by mathematicians from the University of Cambridge, Darktrace’s Industrial Immune System technology uses AI algorithms that mimic the human immune system to defend industrial networks of all types and sizes. In an era where OT and IT are increasingly converging, Darktrace’s technology is uniquely positioned to provide full coverage of both enterprise and industrial environments. By applying advanced machine learning and AI algorithms, Darktrace Industrial defends critical infrastructure across the world, and is relied upon by leading energy providers, utility companies and manufacturers to secure their ICS and SCADA environments. Headquartered in San Francisco and Cambridge, UK, Darktrace has 30 offices worldwide.

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About Darktrace

About Darktrace

Darktrace is the world’s leading machine learning company for cyber security. 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 virtualized networks, as well as IoT and industrial control systems. A self-configuring platform, Darktrace requires no prior set-up, identifying advanced threats in real time, including zero-days, insiders and stealthy, silent attackers. Headquartered in San Francisco and Cambridge, UK, Darktrace has 30 offices worldwide.

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