Model Context Protocol and Agent 2 Agent 🤖🕵️

Explore the future or retreat from the present: a lecture by Jack Clark

This week I discuss a lecture by Jack Clark, check it out here. And check out his newsletter Import AI. https://www.youtube.com/watch?v=8zIcP5WlShw

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