Workshop
The Wireless Threats Your AI Data Centre Cannot See
May 20, 2026 | 12:00 - 12:45 (BST)
Learning Lab
Wireless threats are among the fastest-growing and least visible risks in AI data centres, expanding 20x faster than conventional threats over the past 15 years. Yet most security programmes lack visibility into the radio frequency (RF) environment, leaving critical infrastructure exposed to attacks that bypass traditional controls.
As AI infrastructure becomes a target for nation-state actors, risks now include IP theft, operational disruption, and reputational damage.
In this workshop, Bastille reveals the scale of the wireless attack surface and how leading data centre operators are addressing it.
Key takeaways:
- Why wireless airspace is a critical, often unmonitored attack surface
- Real-world threats, from rogue devices to supply chain compromise
- How continuous, passive monitoring delivers full visibility
- Why organisations like Oracle are making wireless security a baseline standard
“Events like this provide a great opportunity to network with peers and more importantly, raise the profile of our industry.We still have a long way to go to ensure there is wider public knowledge and acceptance of our industry and the critical services we deliver.”
Roundtable
Why the Pre-Development Gap Is Killing Infrastructure Timelines — and How to Close It (Invite-only Private Roundtable)
May 20, 2026 | 09:30 - 10:30 (BST)
Learning Lab
Speakers
Dr Paul Seurin
Co-founder and CTO, Nyxium
The infrastructure needed to power the next generation of AI compute is constrained not by capital or demand, but by the gap between identifying a site and making it deployable. Permitting complexity, interconnection queues, planning friction, and community acceptance have collectively made pre-development the longest and least predictable phase of any data centre or renewable energy project.
This roundtable brings together a small group of senior developers for a live demonstration of Nyxium — an agentic infrastructure intelligence platform purpose-built to address that gap. Participants will see how Nyxium aggregates and analyses the data that currently drives months of manual consultant work: grid access and capacity trajectories, permitting histories and approval velocities by jurisdiction, regulatory risk signals, and site deployability scoring across multiple candidate locations simultaneously.
The session is deliberately small, deliberately practical, and designed for developers who are actively making site decisions — not evaluating technology in the abstract.
Key Takeaways:
- Pre-development is the critical path of infrastructure delivery — and it is the phase most exposed to timeline and cost overruns that erode project returns
- The data needed to make faster, better site decisions already exists — the problem is that it is fragmented, slow to access, and disproportionately expensive to assemble through traditional advisory processes
- Nyxium compresses that workflow from months to days — giving development teams site intelligence at the screening stage, when it actually changes which projects get built and which don't
- Permitting velocity, grid headroom trajectory, and regulatory stability are quantifiable site selection variables, not qualitative risks to be managed post-commitment
- Developers who systematically integrate infrastructure intelligence into their pre-development process will have a structural timing and cost advantage over those who don't
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