
We Let an AI Pentester Attack Our App — Here’s What It Found
From So What About AI Agents by Philippe Trounev
May 3, 2026 · 49 min · Season 2 · Episode 1
About this episode
The episode discusses the unexpected findings from an AI penetration testing agent running against a production application.
We let an autonomous AI penetration testing agent run against our production application — and the results were unexpected.In this episode, we sit down with Grant McCracken from Dark Horse Security, who built Vulcan, an AI-powered pentesting agent capable of autonomously discovering vulnerabilities in real-world systems.Instead of traditional scanners or manual pentests, Vulcan ran continuously, explored the app like a human tester, and uncovered issues we hadn’t considered — including unexpected behavior in our AI workflows.We cover:How AI penetration testing actually worksWhy traditional scanners miss critical vulnerabilitiesWhat Vulcan found in our systemHow we fixed the issues it uncoveredThe future of continuous, autonomous security testingIf you're building with AI, deploying SaaS products, or working on secure infrastructure — this is a glimpse into what security will look like going forward.
People in this episode
Host: Philippe Trounev
Guest: Grant McCracken
Topics covered
- AI penetration testing
- vulnerability discovery
- autonomous security
- SaaS security
- AI workflows
Keywords
- AI pentesting
- vulnerabilities
- security testing
- autonomous agents
- SaaS products
Mentioned in this episode
Organizations: Dark Horse Security
Products: Vulcan
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