Cyber Everything

In today’s Spotify episode, learn how non-technical teams use Gemini-driven vibe coding with Streamlit and BigQuery to rapidly build live threat-forecasting prototypes. Plus, GSSE experts reveal how cybercriminals exploit geographic signals and global infrastructure for fraud, sharing actionable data science strategies to help security teams detect and disrupt global scam networks.

Are you worried about how generative AI is shifting creative industries, or how modern online scams are targeting your daily life? In this episode of the Cyber Everything podcast, we break down exclusive data revealing why young adults are actually the most vulnerable to cyber fraud and how AI is changing the marketplace for artists.Join host Lucien Taylor, Emily Taylor, and PR expert Guy Bellamy as they delve into the real-world consequences of technology on human intent and security. We explore the "controls era" of artificial intelligence, legal copyright battles, and why 18-to-29-year-olds are three times more likely to fall victim to online scams than those in their 70s. By looking at real data from Oxford Information Labs, we look to shift the conversation from victim-blaming to systemic safeguarding and corporate responsibility. Finally, stick around for our Tech Room 101, where we debate the virtue signaling on LinkedIn and review the Apple Home-supported iSmartgate garage door opener.

Are you letting compliance anxiety stop you from fighting economic crime effectively? In this episode of Cyber Everything, we reveal how breaking down data silos and utilising AI can completely revolutionise how we protect adults from online scams.We dive into the Home Office’s latest call for evidence on information sharing and debunk the legal myths currently paralysing the private sector. The team discusses groundbreaking research from Oxford Information Labs, backed by a major Google.org grant, which applies semantic analysis to nearly 29 million threat signals to reverse-engineer scammer tactics. Discover why the traditional victim-blaming model is failing and learn how a healthcare-inspired "safeguarding" framework can disrupt industrialised fraud networks before they strike.

Has the era of the passive AI chatbot officially come to an end? In this episode of Cyber Everything, we break down how Google I/O 2026 and Apple's latest supply chain shifts are launching us directly into a brand-new, autonomous agentic era.We dive deep into the massive announcements from Google I/O 2026, unpacking the hyper-fast Gemini 3.5 family, the background automation power of Gemini Spark, and the multimodal physics of Gemini Omni. We also dissect the biggest waiting game in tech: why Apple is intentionally delaying its highly anticipated 7-inch Smart Home Hub to completely rearchitect Siri into a flawless, context-aware household manager. Whether you are looking to revolutionise your daily workspace productivity, fix your smart home ecosystem, or simply understand the societal shift towards AI digital employees, this video reveals exactly how these new systems will work for you 24/7.

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."

Stop just sharing data and start measuring your actual impact on global fraud. In this session, the leadership team at Oxford Information Labs breaks down the latest GSE release and how we're using AI to dismantle cyber threats.In this deep dive, Lucian, Emily, and Mark explore the transition from building a platform to measuring real-world success in the fight against scams. We discuss the critical role of "boring" tech like SAML Single Sign-On for public sector security, the introduction of the GSE Index, and the difference between disrupting and dismantling threats. Plus, get an exclusive first look at GSE Compass, our new AI-driven data explorer that allows you to query over a billion signals using natural language. We wrap up with a developer’s review of Sanity Studio and why it’s a game-changer for structured content management.

Is your privacy being traded for "safety" in the 2026 identity revolution? From Discord’s mandatory biometric scans to humanoid robots in our living rooms, we break down the tech shifts you can't afford to ignore.In this episode of the Internet Seriously podcast, we analyse the massive cultural and technical shift occurring as platforms move away from pseudonymity. We dive into the controversial "Brussels Effect" of global regulation, the breathtaking (and slightly terrifying) agility of China’s new Unitree humanoid robots, and whether "iRoot Safe" can actually protect your 3D home maps from foreign servers. We also get interrupted by our own security systems forcing a reset! Whether you're a privacy advocate or a robotics enthusiast, you’ll learn how the "mess of life" is the final frontier for AI and what it means for your digital sovereignty.

Can AI actually help us stop scammers by "thinking" like them? Join Emily Taylor and the Oxford Information Labs team as they reveal how they’re using advanced AI to analyse 70 million scam signals without losing the "human touch."In this deep dive, we explore the methodology behind our latest study into scam and fraud victims, supported by Google.org. You’ll learn how "Prompt Engineering" and "Human Review" work together to process massive datasets that would take a human lifetime to read. We move beyond "victim blaming" terminology to look at how scammers target specific groups—from the "neurospicy" community to the bereaved—and discuss why AI is an essential, ethical tool for protecting researchers from traumatising content.