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Three Buddy Problem x Offensive AI Con: Umbriel AI's Aaron Grattafiori breaks down the new offensive-security playbook: using LLMs for patch variant analysis, why the vuln apocalypse hasn't become an exploit apocalypse, and how the death of security through obscurity puts closed-source binaries and firmware within reach.

Plus, we discuss rogue agents escaping sandboxes, the eval-driven loop behind recursive self-improvement, and the brutal cost asymmetry that makes offense cheap and defense almost unaffordable.

Cast: Juan Andres Guerrero-Saade, Ryan Naraine and Aaron Grattafiori.

Timestamps:
0:00 Introductory banter
1:12 Umbriel AI pitch: "Smart people in a place to cook”
3:08 Weird, exhausting, exciting time in security
4:00 What AI really changed: speed (and a 30-minute reimplementation)
6:36 Incomplete fixes and the variant-analysis pipeline
9:21 Uplifting, abstraction, and representing vulnerabilities
11:48 Experimentation and the new shape of security companies
14:46 The vuln apocalypse vs. the exploit apocalypse
16:36 Triage, verification, and reward hacking
18:08 Do models reintroduce bugs? Is vuln-free code possible?
24:22 Specialized models and the rise of Jev-style classifiers
26:47 Binaries, firmware, and the death of security through obscurity
31:15 Open source as a requirement and corporate contracting
33:54 Rogue agents: Hugging Face, OpenAI, and lab escapes
39:17 Why defense is so expensive, and running the rig