Good Vibes Only: Security with AI Vibe Coding
by Daniel Sandau | at Minnebar 19
As large language models (LLMs) and AI tools become increasingly powerful in the development world, a new concept has emerged: vibe coding, or guiding an AI to build out code without ever laying a finger on the code yourself.
But as with most shiny new tools, security is often left behind in the rush to innovate. AI-generated code can be incredibly helpful, but it rarely defaults to being secure unless explicitly guided. Beyond the usual concerns of bugs and bad actors, vibe coding also introduces risks around copyright, attribution, API usage limits, and data privacy.
This session explores the hidden (and not-so-hidden) security pitfalls of AI-assisted development. You'll walk away with a mild amount of paranoia, practical tips, go-to resources, and solid practices to help ensure that your next side project, startup prototype, or enterprise application is built on secure foundations.
If you're going to let an AI build code, at least make sure it’s not building your next security incident as well. Let the good vibes roll!
Daniel Sandau
Daniel Sandau has spent the past 16+ years in the security industry with a primary focus on offensive security testing, working with clients and developers, and leading groups of people. His work spans everything from web apps and thick clients to mobile and network security assessments with a perspective that only comes from years in the trenches.
He is currently a Cyber Director for Security Testing for Aon, and is passionate about mentoring the next generation of security professionals. Daniel’s spoken at past Minnebar events and other tech conferences, and he’s always happy to swap stories or chat shop.
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