<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Pentesting Found Real Kubernetes Exploits in 3 Hours for $2</title><link>https://devopstoolkit.live/ai/ai-pentesting-found-real-kubernetes-exploits-in-3-hours/index.html</link><description>A few hours of an agent’s work, and a few minutes of mine. That’s all it took to find a way into my own Kubernetes cluster. Not a maybe buried in a PDF. A real one, proven, with my session token stolen and my cluster’s secrets read back out to an attacker. A human doing the same thing would have taken weeks, if I could even get one booked.
And if you’re a developer, in DevOps or SRE, or anyone who ships software and has already decided security testing isn’t your job, don’t go anywhere. This one’s for you. It’s a way to offload the work you don’t want to do, or never get around to, and still get findings back in a shape you can act on.
Here’s the situation most of us are actually in. AI writes half our code now. Sometimes all of it. We ship faster than we ever have. And penetration testing, the thing that’s supposed to catch the holes before someone else does, hasn’t kept up. It’s scarce, it’s expensive, and it happens once a year, if it happens at all. By the time the report lands, you’ve shipped a dozen more releases, the version it actually tested isn’t even running anymore, and half the findings are too late to fix cleanly. And what you get is usually a list of problems, not solutions. It’s no wonder pentesters aren’t most developers’ favorite people to hear from.
So this video is about what changes when that pentester is an AI. I’m going to point one at an app I actually own, let it genuinely break in, and see what that’s worth.</description><generator>Hugo</generator><language>en-us</language><lastBuildDate/><atom:link href="https://devopstoolkit.live/ai/ai-pentesting-found-real-kubernetes-exploits-in-3-hours/index.xml" rel="self" type="application/rss+xml"/></channel></rss>