> ## Documentation Index
> Fetch the complete documentation index at: https://vibecoderdocs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Security

> Prompt injection, data leakage, model security, and AI-specific attack vectors.

# AI Security

Building with AI introduces an entirely new category of security concerns. If your app sends user input to an LLM, you need to understand these threats.

<Warning>
  This section is a work in progress. Content is being actively developed.
</Warning>

## Topics to Be Covered

* Prompt injection (direct and indirect)
* Data leakage through AI models
* System prompt extraction
* Tool use and agent security
* Rate limiting and cost attacks
* Output validation and safety
* Sensitive data in training and context
* Multi-tenant AI application security
* Responsible AI disclosure