Darktrace Acquires Cybersprint
23 February 2022
DARKTRACE ACQUIRES ATTACK SURFACE MANAGEMENT COMPANY CYBERSPRINT
· Consideration of
· Cybersprint's technology and external data highly complementary to Darktrace product set
· Additive to Darktrace's new 'Prevent' product suite underpinned by Attack Path Modeling
· Darktrace gains an additional European R&D Centre based in
· Target completion date on or around 1 March, 2022
Darktrace, a global leader in cyber security AI, today announced that it has entered into a definitive agreement to acquire the entire issued share capital of Cybersprint B.V. ("Cybersprint"), an attack surface management company that provides continuous, real-time insights from an outside-in perspective to eliminate blind spots and detect risks. The acquisition of Cybersprint is aligned with Darktrace's vision of delivering a 'Continuous Cyber AI Loop' and complements its Self-Learning technology and inside-out view.
Darktrace is acquiring Cybersprint for
Cybersprint's attack surface management data can enrich existing Darktrace Detect and Respond products with external vulnerability data and accelerate the company's market entry into new areas like proactive AI cyber security. For example, this capability will be introduced as a new module in the Prevent product family, feeding organisation-specific web data to Darktrace's Attack Path Modeling technology. See additional information on Darktrace's Prevent Product suite and Attack Path Modeling technology here.
Through this acquisition, Darktrace gains a second European R&D Centre in
"We are very excited to welcome the Cybersprint team to Darktrace. Bringing inside-out and outside-in visibility together is critical and having access to the robust, rich, real-time external dataset combined with Darktrace's Self-Learning AI means that customers get a holistic view of prioritised cyber risks to harden the parts of their organisation that are most vulnerable. With this acquisition, we are able to leverage Cybersprint's seven years of R&D to accelerate our Prevent product family, ultimately making it much harder for cyber-attackers to carry out successful missions," said Poppy Gustafsson, CEO, Darktrace.
"I'm very excited about this fantastic step in the journey of Cybersprint. We are passionate about automating manual tasks in cybersecurity from an outside perspective. We believe attackers never sleep and operate without scope. When we began conversations with Darktrace, we felt an instant connection on vision, culture and technology. That's why we are looking forward to joining Darktrace and working together to accelerate state-of-the-art innovations to make organisations more cyber secure," commented Pieter Jansen, CEO, Cybersprint.
A webcast will be hosted by Darktrace at 09.00 GMT today to provide further details on the announcement. Please register here to attend: https://webcasting.brrmedia.co.uk/broadcast/6214356e1df09e640ebddafe
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Darktrace (DARK:L), a global leader in cyber security AI, delivers world-class technology that protects over 6,500 customers worldwide from advanced threats, including ransomware and cloud and SaaS attacks. Darktrace's fundamentally different approach applies Self-Learning AI to enable machines to understand the business in order to autonomously defend it. Headquartered in
Cybersprint maps the attack surface of organisations and brands. Cybersprint offers full visibility using continuous and automated digital asset discovery. Cybersprint's zero-scope AI-driven approach provides an outside-in perspective, eliminating blind spots. These insights empower cybersecurity professionals to prioritise the mitigation of vulnerabilities and detect and prevent threats such as data leaks, ransomware compromise and more. Cybersprint's Attack Surface Management (ASM) platform allows organisations to automate, manage, and monitor risks with customisable filters and alerts, integrated into existing processes.
Financial Times included Cybersprint as one of the fastest growing cybersecurity companies in
This announcement includes inside information as defined in Article 7 of the Market Abuse Regulation (EU) No. 596/2014 (as it forms part of