Welcome to the first episode of the Ground Level AI Podcast! I’m excited to offer up thoughtful conversations with AI leaders with a strong focus on what happens when AI meets the real world. From AI infrastructure and cybersecurity to enterprise adoption, policy, geopolitics and the workforce, we'll explore where the technology collides with reality.
My first guest is Joshua Saxe, cofounder and CTO of Abundant Security and the former engineering lead for Llama security at Meta. I've been writing about AI security for several years, and lately it's become one of the hottest topics in AI, driven by concerns about increasingly capable models like Anthropic’s Mythos; worries about autonomous cyber attacks; and growing fears over what AI could mean for critical infrastructure and national security.
We discuss:
Why Saxe believes AI security headlines often focus on the wrong threats
Whether restricting powerful cybersecurity models actually makes defenders less safe
Why we haven’t yet seen a truly catastrophic AI-enabled cyberattack
What agentic AI means for attackers—and defenders
What it was like leading security for Meta’s Llama models
Why Saxe left Meta to launch Abundant Security
Why cybersecurity organizations need to rethink how they work in the age of AI
What he expects to hear at Black Hat and DEF CON this year
I hope you enjoy it, and I'd love to hear your thoughts in the comments!
