In this episode, we explore the security challenges founders can face when building applications with AI coding tools. AI can speed up development, but issues such as weak authentication, exposed API routes, unsafe permissions, payment vulnerabilities, and sensitive data exposure can still appear before launch.

A proper security audit for AI-built apps can help identify these risks before real users encounter them. We discuss practical security checks, code quality, API and database risks, authentication, access control, and common vibe coding security concerns that can affect AI-assisted applications.

We also look at why testing an application before launch is important and how founders can identify technical risks before they become public problems. A structured technical review can help determine what is stable, what needs attention, and which issues should be fixed first.

For founders preparing an AI-built product for launch, understanding these security and technical risks early can help create a safer and more reliable experience for real users. You can learn more about Launchieve's approach through the Technical Launch Audit.