AI App Security
AI app security refers to two overlapping practices: securing applications built with AI code assistants (vibe-coded apps, prone to leaked secrets and missing RLS), and securing applications that call AI APIs at runtime (prompt injection, data exfiltration, model abuse). Both share a review-heavy workflow.
In plain English
Two things: making sure AI didn't write insecure code, and making sure your AI features can't be tricked.
Why it matters
AI-generated code fails at auth and secret handling more than hand-written code. AI-consuming features (chatbots, RAG apps) fail at input trust · treating user prompts as instructions leads to prompt injection, data leaks, and system compromise. Both classes need dedicated review.
Related terms
Frequently asked
What's the top AI app security risk?
Depends on which side. Building side: leaked secrets and missing RLS. Consuming side: prompt injection.
Does SimplyScan cover AI-generated code?
Yes · that's its core use case. We scan vibe-coded apps for the specific vulnerabilities AI tends to introduce.