AI-enabled cyberattacks are increasing in sophistication and creativity. For example, recently, a vending machine became a potential entry point for attackers targeting a large financial institution in a major city. So how can manufacturers protect devices in the age of AI and LLMs? How can that effort be helped by open source software and hardware? And what does this mean for the future of connected devices?

All this and more is on the agenda in the latest episode of the Derby Mill Series, which sees our usual team of Ajay Agrawal, Rich Sutton, Sendhil Mullainathan, Niamh Gavin and Suzanne Gildert joined by Intrepid growth partner Ken Nickerson and our special guest, Gianni Cuozzo from Exein, as they explore embedded cybersecurity and how it protects billions of connected devices around the world.

GUESTS AND HOSTS

Gianni Cuozzo, founder and CEO, ExeinAjay Agrawal, co-founder and partner, Intrepid Growth PartnersRichard Sutton, senior advisor, Intrepid Growth Partners, 2024 Turing Award recipient, pioneer of reinforcement learning and professor, University of AlbertaSendhil Mullainathan, senior advisor, Intrepid Growth Partners, MacArthur Genius grant recipient and professor, MITNiamh Gavin, senior advisor, Intrepid Growth Partners, Applied AI scientist and CEO, Emergent PlatformsSuzanne Gildert, founder and CEO, Nirvanic Consciousness TechnologiesKen Nickerson, senior advisor, Intrepid Growth Partners, and founder and CEO, iBinary

LINKS

Exein websiteExein explanation videoExein raises €100m in new funding to accelerate its global expansionMentioned in the episode: Read Anthropic’s report: Disrupting the first reported AI-orchestrated cyber espionage campaignSubscribe to The Derby Mill Series at our Substack (main site) or on YouTube, Spotify or Apple PodcastsDerby Mill is created by the team at Intrepid Growth Partners and produced by Ghost Bureau.

DISCUSSION POINTS

00:00 — What is embedded cybersecurity?01:23 — How IoT devices become attack vectors02:20 — The vending machine breach at a major bank06:00 — Lateral movement and malware expla11:05 — What is embedded cybersecurity?13:49 — What makes Exein unique in cybersecurity16:06 — Reinforcement learning and hacking17:29 — Physical risks in robotics19:24 — Pattern recognition vs expected behaviour25:56 — Historical lessons from computing vulnerabilities31:05 — AI and cybersecurity at the limit32:13 — Future equilibrium: open hardware and software36:44 — Scaling attacks and defence in cyber-physical systems

DISCLAIMER

The content of this podcast is for informational and educational purposes only and should not be construed as marketing, solicitation, or an offer to buy or sell any securities or investments. The opinions expressed in this video are those of the participants and do not necessarily reflect the views of Intrepid Growth Partners or its affiliates. Any discussion of specific companies, technologies, or industries is for illustrative purposes and does not constitute investment advice. Viewers are encouraged to consult with their own financial, legal, and tax advisors before making any investment decisions.

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit insights.intrepidgp.com

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