Resilient IoT + Trustable AI Conference 2025
2025-10-30
London, United Kingdom
who it's for
iot security engineers, embedded systems engineers, security architects, procurement officers, cloud and data centre engineers, regulators and standards managers, ai-on-edge engineers
topics
memory safety with CHERI capabilities; device identity frameworks; IoT Security Assurance Framework v4; Trustable AI bill of materials; tiny AI inference on smallest processors; confidential compute at the edge; supply chain attestation and provenance; post-quantum resilience for firmware; European Radio Equipment Directive compliance; hardware root of trust audits; bridging policy and practice for IoT security
| title | author | length |
|---|---|---|
| Resilient IoT & Trustable AI highlights | 03m | |
Joint IoTSF and TechWorks‑AI conference convenes global practitioners with 40+ speakers and attendees from Jakarta, Texas and Melbourne to address concrete… | ||
| The kaleidoscopic futures of AI and security | Dex Hunter-Torricke | 41m |
AI helps AlphaFold decode 220 million proteins in under four years and researchers using generative models publish about 67% more papers and get three times… | ||
| AI innovation begins with trust | Richard Grisenthwaite | 35m |
AI monetization shifts from massive training to widespread inference: training costs ~10^25–10^26 flops while a typical inference is ~10^14–10^15 flops, a… | ||
| AI and IoT security - The road ahead. Expert Panel | Aston Martin | 35m |
Claim that AI-infused zero-days shift from one or two per year to multiple per week and get brokered by nation-states is repeated, with a concrete warning that… | ||
| IoT security is evolving, procurement is key | John Moor | 22m |
IoT security work updates include the Security Assurance Framework republished as web pages for 300+ requirements and already used in procurement experiments… | ||
| Cyber resilience and national security | Grace Cassy, Darron Antill | 23m |
The 2025 Strategic Defence Review is the first fully external SDR, receiving about 8–9k public submissions that are triaged with AI then read by humans, and it… | ||
| What’s next for memory safety? | Simon Moore | 18m |
CHERI is a hardware capability architecture that replaces raw pointers with a CHERI capability pointer carrying bounds, permissions and provenance so the… | ||
| Do your gadgets have ears? Why IoT regulation must include data privacy | Ken Munro | 22m |
Shows concrete failures: a Samsung Smart TV sent audio in plaintext to Nuance (USA); the My Friend Cayla doll is a Bluetooth headset with Bluetooth without PIN… | ||
| The IoT Security Assurance Framework V4 release | Ian Pearson | 09m |
Practitioner‑authored IoT Security Assurance Framework V4 is released as a web‑first resource with an automated PDF generator (functional but rough), and the… | ||
| Update on the IoTSF's Device Identity working group | Richard Seward | 07m |
A new Device Identity Forum is forming to stop everyone reinventing device identity language and artifacts and to deliver concrete outputs: publish white… | ||
| The Trustable AI Bill of Materials (TAIBoM) | William Jones | 07m |
Project born from the TAIBOM Innovate UK effort (with BAE systems, University of Oxford, TechWorks AI) produces a survey plus a concrete schema for entities… | ||
| Trust in the edge, trouble in the cloud | Jennifer Williams | 25m |
Claims that an IoT compromise often bypasses devices and hits the backend: an open S3 bucket exposes 2.7 billion records including Wi‑Fi passwords… | ||
| Navigating the galaxy of domestic IoT security standards, legislation and codes | Matt Tett | 18m |
A landscape of overlapping schemes includes the UK PSTI (already enforced), the EU Cyber Resilience Act (CRA), and Australia’s law that adopts the top three of… | ||
| European Radio Equipment Directive cyber requirements – 90 days in | Joe Lomako | 16m |
Three mandatory requirements known as 3.3 D, E, F require devices with radios to protect the network, protect privacy/data, protect from fraud, with compulsory… | ||
| 4 Panel Session - Bridging Policy and Practice | Richard Marshall | 27m |
Panel consensus says market awareness is still critically low and the Cyber Resilience Act covers a broad scope including product with digital elements —… | ||
| Data centre security | Shahram Mossayebi | 17m |
Data centers face an escalating hardware-failure problem — GPUs account for over a third of failures and a fleet of ~1,000,000 GPUs yields roughly a failure… | ||
| Hardware security for critical national infrastructure | David Chisnall | 23m |
Claims that hardware-enforced memory safety eliminates the class of spatial and temporal bugs that historically cause about 70% of critical vulnerabilities… | ||
| How is AI transforming the cybersecurity of space? | Jessie Hamill Stewart | 18m |
Space systems underpin PNT, comms and imagery and form a projected $1.8 trillion market; AI already accelerates earth imagery analysis for conservation and… | ||
| Mastering global IoT compliance: How AI simplifies RED and the Cyber Resilience Act | David Nosibor | 20m |
Claims an LLM-driven platform maps product docs to RED, CRA, NIST 8259 and EN 303645 clauses using a golden dataset plus a device and evidence parsing layer… | ||
| Critical infrastructure and IoT: How to harden what you can’t replace | Scott Register | 21m |
Modern grids face a rapid expansion — about $700B invested in 12 years and $1.4 trillion planned in five — driven by AI data centers that raise demand tenfold… | ||
| How not to secure your embedded system, lessons from automotive testing | Martin Thompson | 14m |
About 90 pentests so far uncover repeated, concrete failures: read-only XCP allowed full flash and key extraction by incremental CRC/brute-force; RNG outputs… | ||
| Trusting AI in high integrity systems | Dominic Taylor | 17m |
Defines which specific functions need fail-safe behaviour and the exact contexts (motorway vs rural, mph vs kph), then applies standard hazard brainstorming… | ||
| Boosting confidence in tiny AI deployment in embedded control systems | James Dickie | 19m |
Claims a path to replace physical sensors with virtual sensor models (hands-on-wheel from steering-gear telemetry) and to swap decades of ultrasonic "spaghetti… | ||
| Preserving integrity and trust in AI | Juri Fiaschi, Ryan Baldwin | 17m |
Claims a concrete standard called Tybon (a trustable AI bill of material) that uses W3C verifiable credentials and cryptographic hashes to sign datasets, model… | ||
| Whiskey, open source, and artificial intelligence | Stephan Janoush | 24m |
Modern embedded systems face concrete risks: OSS brings licensing compliance issues, no guaranteed support, unknown contributor intent, and huge codebases such… | ||
| AI inference for the smallest processors | Pietra Ferreira | 13m |
Porting PyTorch to run inference on bare‑metal microcontrollers is practical: a workflow lowers models with ExeTorch (Zechrch) ahead‑of‑time, a delegate… | ||
| Building reliable AI hardware | Lee Harrison | 23m |
Semiconductor demand heads toward a trillion dollar market as AI moves to the edge and into vehicles, forcing custom silicon to solve reliability. Data centers… | ||
| Women in TechWorks launch | Jillian Hughes, Jon Michaels | 26m |
Launch outlines an initiative targeting concrete gaps: semiconductor female participation at 26% overall and 18% in technical roles, only 8% of women in… | ||
| Building intelligent, secure, and scalable autonomous systems | Shekhar Patnaik | 20m |
Runs LLMs in a loop as enterprise agents that perceive code or docs, reason a plan, then execute tools; demonstrates a real Java 8→21 upgrade agent that… | ||
| nothing matches | ||