AI can ship code at the speed of a prompt but it also ships assumptions just as fast. That is the hidden risk of “vibe coding”: endpoints that look correct, tests that pass, and security gaps that only appear in production, incident reviews, or audits.
Report for duty with a former Green Beret turned application security expert, Michael Burch, as your drill sergeant. In this bootcamp webinar, you will learn how to keep AI productive without letting it compromise your security posture. Convert fuzzy feature ideas into LLM-ready specs that remove guesswork. Build systems with sharp interfaces so AI changes stay contained and reviewable. Teach your tools the map of your repo, trust boundaries, data sensitivity, and standing rules so critical constraints are never lost in the field.
We will cover operational practices teams often skip. Enforce security rules instead of hoping they are remembered. Tag AI-touched work so review posture and checklists activate automatically. Identify red zone areas where AI can assist but should never lead the charge.
Stay mission-ready and make security a priority. This bootcamp webinar is essential for any team using AI to write code. It is the difference between faster delivery and faster incidents. Prepare your tools, tighten your processes, and secure your code.
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