
McLaren Racing today announced an extended and improved multi-year partnership with Darktrace as the official AI Cyber Security Partner of the McLaren Formula 1 and Arrow McLaren SP teams. This introduced the world’s leading cyber AI company in INDYCAR.
Darktrace’s Cyber AI detects, investigates, and quickly responds to fast-moving cyber threats in real time across a variety of digital environments, including cloud-based software and email. The technology is used by McLaren’s technology and security teams to defend against advanced cyber threats. The partnership enables McLaren to have complete transparency across the entire digital infrastructure.
From IoT sensors on every racing car to edge compute and factory connectivity that powers operations, teams McLaren F1 and INDYCAR find themselves in fast-moving worlds. Darktrace’s addition ensures that cyber threats can be blocked automatically at a speed and extent that is beyond human capabilities.
As part of the partnership, the Darktrace brand will continue to be worn on the rear wings of the McLaren Formula 1 MCL35M racing cars, the pit wall and the McLaren F1 driver racing suits by Lando Norris and Daniel Ricciardo from the 2021 season.
Additionally, Darktrace is worn on the chassis sides of Arrow McLaren SP racing cars, Arrow McLaren SP Chevrolet No. 5, and Vuse Arrow McLaren SP Chevrolet No. 7.
Zak Brown, CEO of McLaren Racing said:
“The renewal of our partnership with Darktrace is a big boost for the team at the start of the 2021 season. Darktrace is a key partner for McLaren Racing with its world-leading cyber AI, which is vital to securing our data and digital infrastructure to support our progress on and off the track.
“We are very excited to extend this partnership and introduce Darktrace with Arrow McLaren SP into INDYCAR.”
Poppy Gustafsson, CEO of Darktrace said:
“I am very pleased to continue our partnership as the official AI Cyber Security partner for both McLaren teams in Formula 1 and the NTT INDYCAR series. In a new era of cyber threats, it is more important than ever to build resilient digital infrastructures and use self-learning technologies that can interrupt newly emerging security incidents in seconds. “
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