The independent voice for when
AI and security collide.

Every UK Lotto combination has the same odds of winning. Or do they? People pick their numbers in predictably biased ways, which changes not your chance of winning but how much you would take home if you did. I used AI as an end-to-end analytical partner to frame the question, build the strategies and test them against more than 1,000 real UK draws from 2016 to 2025. I'll show you what held up, what fell apart and how the same approach applies to any problem where the obvious answer turns out to be only half of it.

Panellist on the "Cybersecurity, Sovereignty and Trust" panel, alongside Dr Viktoria Schmittmann and Dr Jaroslaw Wilk, moderated by Stuart Sumner and covered by CRN and ChannelWeb.

One LinkedIn post hardly gathers traction whilst another goes viral. I wanted to know why, so I used AI to find out. What I found surprised me, and led me to build a system for predicting the likely engagement and reach of any LinkedIn post before it goes live. In this session I'll share how I used AI at every step: to conduct the research, spot unexpected patterns and build the scoring system itself. I'll also give you access to the tool, so you can score and optimise your own posts on the day. Whether you're using LinkedIn to build a personal brand, grow your business profile or drive sales, you'll leave with a new mental model for what makes content perform, a practical tool you can use straight away and a clearer sense of how to approach your own problems with AI. There's a live demo at the end. Bring a draft LinkedIn post.

We've reached an inflection point: stakeholders are scrutinising AI Security posture. Boards are seeking reassurance, procurement teams are probing and regulators are circling, and all want evidence that your AI systems and the data they process are properly governed. This talk covers Shadow AI risks, the governance gaps most organisations miss and practical principles your team can apply to prepare for and evidence AI Security practices.