Unsupervised Learning

What really happened at RSA 2024? Daniel Miessler and Jason Haddix break it down. Fresh off a whirlwind RSA week, Daniel sits down with Jason Haddix (Arcanum Information Security) to talk about what mattered—beyond the show floor noise. From off-site innovation summits to real-world AI implementation, this deep dive co

➡ Get full visibility, risk insights, red teaming, and governance for your AI models, AI agents, RAGs, and more—so you can securely deploy AI powered applications with ul.live/mend In this episode, I speak with Bar-El Tayouri, Head of AI Security at Mend.io, about the rapidly evolving landscape of application and AI se

In this episode, I break down what I believe is the emerging structure of the AI-powered world we're all building—consciously or not. I call it the “Four A’s”: Assistants, APIs, Agents, and Augmented Reality. This framework helps make sense of recent developments and where it’s all headed. I talk about: 1. Digital Assi

In this episode, I walk through a Fabric Pattern that assesses how well a given model does on a task relative to humans. This system uses your smartest AI model to evaluate the performance of other AIs—by scoring them across a range of tasks and comparing them to human intelligence levels. I talk about: 1. Using One AI

➡ Secure what your business is made of with Martial Security:  https://material.security/ In this episode, I speak with Patrick Duffy from Material Security about modern approaches to email and cloud workspace security—especially how to prevent and contain attacks across platforms like Google Workspace and Microsoft 36

AI is changing cybersecurity at a fundamental level—but how do we decide what to build, and when? In this episode, I outline a structured way to think about AI for security: from foundational ideas to a future-proof system that can scale with emerging threats. • Rethinking Human Workflows as Intelligence Pipelines By m