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.