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Tactical AppSec Bootcamp: Secure VIBE Coding Framework

On-Demand

AI can write code at the speed of a prompt—but it also ships assumptions just as fast. The hidden risk of vibe coding is real: endpoints may look correct, tests may pass, yet security gaps only appear in production, audits, or incident reviews. Teams that act early can keep pace without compromising security.

To stay ahead, teams need structured approaches to secure AI-driven development. Security Journey equips developers to work confidently with AI, ensuring speed doesn’t come at the cost of security.

In this bootcamp webinar with former Green Beret turned AppSec expert Michael Burch, you’ll learn how to:

  • Convert fuzzy feature ideas into LLM-ready specs that remove guesswork.

  • Build systems with well-defined interfaces so AI-driven changes stay contained and reviewable.
  • Teach your tools the map of your repo, trust boundaries, and data sensitivity to enforce critical constraints automatically.
  • Implement operational practices teams often skip, like tagging AI-touched work, activating review checklists, and identifying “red zone” areas where AI can assist but should not lead.

See how leading teams are keeping AI productive while staying mission-ready, closing security gaps before they appear, and turning speed into an advantage rather than a liability.

Watch the Recording