You're already using ChatGPT, Copilot, and Claude to write code. But how do you deploy it to production without introducing vulnerabilities?

Research shows 45% of AI-generated code contains security flaws. As a developer, you're caught between two demands: ship faster with AI tools, and maintain enterprise security standards. This session shows you how to do both.

We'll go deep on the technical challenges:
- AI-generated code patterns: What works in production, what creates security holes?
- Building secure AI workflows: Database migrations, authentication providers, API design
- From prototype to production: Architecture that actually meets enterprise requirements
- Live demos: Watch AI prototypes become secure deployments in minutes, not weeks

Based on real-world case studies and hands-on experience. You'll walk away with concrete techniques to leverage AI tools without compromising security, and practical patterns you can implement on Monday.