330 - From vibe-coding to production: Shipping verifiable AI

About this episode

The episode discusses the transition from vibe-coding to shipping verifiable AI applications, emphasizing the importance of audit trails and security controls.

In this episode, we take a look at the transition from "vibe-coding" to shipping verifiable, production-grade AI applications. This is the critical shift from relying on "gut feel" and prompt tinkering to implementing rigorous audit trails, versioning, and security controls. We discuss why many AI pilots fail due to a lack of explainability, the specific risks of privilege expansion and data leakage in agentic workflows, and also outline how to use Microsoft Foundry/Azure AI Studio to operationalize your models like true regulated software. (00:00) - Intro and catching up. (05:30) - Show content starts. Show links - RedAmon (GitHub) for automated agentic offensive security - Give us feedback!

People in this episode

Hosts: Tobias Zimmergren, Jussi Roine

Topics covered

• AI applications
• vibe-coding
• production-grade AI
• audit trails
• data security
• explainability
• operationalizing models

Keywords

• AI
• vibe-coding
• production
• audit trails
• data leakage
• Microsoft Foundry
• Azure AI Studio
• explainability
• security controls

Mentioned in this episode

Organizations: Microsoft Foundry, Azure AI Studio, RedAmon, GitHub

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