Wondering how much a catastrophic cyber attack would actually cost your organisation? In this episode, we explore how the mature discipline of Catastrophe (CAT) Modeling is being used to quantify cyber risk and ransomware losses with mathematical precision.Join Emily Taylor and experts Johanna Carter and Eireann Leverett as they bridge the gap between natural disaster insurance and the digital frontier. You will learn how Monte Carlo simulations can help boards make better decisions under uncertainty, the role of open-source frameworks like Oasis in standardising risk data, and why the "infinite" nature of vulnerabilities means we can no longer simply patch our way to safety. Whether you are an insurance professional or a CISO, this video provides the strategic toolkit needed to turn technical threats into actionable financial insights.

Is the digital infrastructure we trust actually powering a multi-billion dollar criminal industry? In this FIRST EVER episode of Cyber Everything, we go deep into the ASEAN scam center crisis and the "double victim" reality of industrialised fraud.

Join Lucian, Emily, and Alice Taylor as they analyse the horrifying evolution of "pig butchering" compounds in Myanmar, Cambodia, and Laos—where human trafficking meets high-tech crime. We explore the "Invisible Tether" of Western digital infrastructure, why traditional policing is failing to stop sovereign-scale scams, and why a "safeguarding" model is the only way forward. Plus, we lighten the mood with a review of the RoboRock Qrevo Curv (and a vital warning about why you shouldn't put googly eyes on your hardware).

Is the "college premium" hitting a digital wall? Join Lucian, Emily, and Mark as we investigate the 2026 Graduate Winter and why AI is replacing junior roles faster than the C-suite.

In this episode of the podcast, our panel of experts breaks down the 33% drop in entry-level job postings and the rise of "Agentic Payments"—software agents making independent financial decisions on your behalf. We explore the dangerous "knowledge debt" created when companies stop training juniors and explain the "Golden Set" methodology required to keep AI models accurate. Whether you are a recent grad or a business leader, learn why the human-in-the-loop is the only thing standing between progress and permanent "algorithmic regression."