The AI Security Podcast

Claude Mythos and Project Glasswing

This week we're finally delving into Claude Mythos and Project Glasswing! We discuss both the technical and geostrategic challenges, and what it means for the future of AI security. The announcement: https://red.anthropic.com/2026/mythos-preview/ Glasswing: https://www.anthropic.com/glasswing AISI: https://www.aisi.gov.uk/blog/our-evaluation-of-claude-mythos-previews-cyber-capabilities And if you're interested in my book: https://nostarch.com/practical-ai-security AI Security Fundamentals Course: https://aisecurityfundamentals.com/

How to get hired in AI security

If you’re trying to break into AI security, it can feel confusing — do you need to be a machine learning expert, a cybersecurity professional, or both? In this episode, we break down practical tips for getting hired in AI security, from the skills that actually matter to the types of projects and experience that can help you stand out. We discuss how to build relevant expertise in areas like adversarial machine learning, AI risk, and model security, as well as how to position yourself for roles in startups, research labs, and large tech companies. Whether you’re coming from a cybersecurity, data science, or general tech background, this episode will give you actionable advice on how to start building a career in one of the fastest-growing areas of technology. 🚀

getting talks accepted into conferences! tips and tricks

Want to give a great conference talk (and not bore everyone to death)? In this episode, I share practical tips for giving a strong conference talk — from structuring your idea to actually delivering it on stage. #PublicSpeaking #Conferences #CFP #TechTalks #Cybersecurity #AI

Do we need to secure model weights?

In this episode, we dig into model weight security — what it means, why it’s emerging as a critical issue in AI security, and whether the framing in the recent RAND report on securing AI model weights actually helps defenders and policymakers. We discuss the RAND report Securing AI Model Weights: Preventing Theft and Misuse of Frontier Models — exploring its core findings, including how model weights (the learnable parameters that encode what a model “knows”) are becoming high-value targets and the kinds of attack vectors that threat actors might use to steal or misuse them. #ai #aisecurity #cybersecurity 👉 Read the full RAND report here:https://www.rand.org/pubs/research_reports/RRA2849-1.html

Model Context Protocol and Agent 2 Agent 🤖🕵️

In this episode, we dig into Model Context Protocol (MCP) and agent-to-agent (A2A) communication — what they are, why they matter, and where the real risks start to emerge.We cover:- What MCP actually enables beyond “tool calling”- How A2A changes the threat model for AI systems- Where trust boundaries break down when agents talk to each other- Why existing security assumptions don’t hold in agentic systems- What practitioners should be thinking about now (before this ships everywhere)This one’s for anyone working on AI systems, security, or governance who wants to understand what’s coming before it becomes a headline incident.As always: curious to hear your takes — especially where you think the biggest risks (or overblown fears) really are.