In this episode, a debate about hacker movies turns into a deeper conversation about AI, security, and the human-in-the-loop illusion. We explore how approval fatigue and AI-generated code can create a false sense of security and why fundamentals still matter.

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Are we improving security, or just automating bad decisions faster?

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In this episode, we break down the “AI Vulnerability Storm” and what happens when AI can find—and exploit—vulnerabilities faster than humans can fix them.

We explore how compressed OODA loops are shifting the balance toward attackers, why traditional scoring like CVSS may start to break down, and whether “just patch faster” is even realistic anymore. The team also questions the push toward AI agents everywhere—and whether fighting AI with more AI actually solves the problem.

At the end of the day, it comes back to fundamentals: reduce your attack surface, simplify your systems, and focus on what actually matters.

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Is this a real shift in security—or just faster chaos?

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In this episode, we explore a simple but surprisingly deep question: what would application security look like if generative AI never existed? We break down how AppSec might still rely on deterministic, rule-based approaches, what we might gain in structure and rigor, and what we’d lose in speed, scale, and accessibility. Along the way, we debate whether AI is truly improving security or just accelerating existing problems, from “vibe coding” and false confidence in results to the growing gap between finding and fixing vulnerabilities.

We also get into the tension between human-driven security practices and AI-assisted workflows, and whether the biggest challenges in AppSec are actually technical at all or still rooted in people and process. Plus, things take a turn as we let AI weigh in…and roast us a bit in the process.

Per usual, it’s a mix of thoughtful discussion, strong opinions, and a little chaos.

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