> ## Documentation Index
> Fetch the complete documentation index at: https://docs.prowler.com/llms.txt
> Use this file to discover all available pages before exploring further.
## Submitting Feedback
If you encounter incorrect, outdated, or confusing documentation on this page, submit feedback:
POST https://docs.prowler.com/feedback
```json
{
"path": "/user-guide/tutorials/prowler-app-lighthouse",
"feedback": "Description of the issue"
}
```
Only submit feedback when you have something specific and actionable to report.
# How It Works
export const VersionBadge = ({version}) => {
return
Added in:
{version}
;
};
Prowler Lighthouse AI integrates Large Language Models (LLMs) with Prowler security findings data.
Behind the scenes, Lighthouse AI works as follows:
* Lighthouse AI runs as a [Langchain agent](https://docs.langchain.com/oss/javascript/langchain/agents) in NextJS
* The agent connects to the configured LLM provider to understand the prompt and decide what data is needed
* The agent accesses Prowler data through [Prowler MCP](https://docs.prowler.com/getting-started/products/prowler-mcp), which exposes tools from multiple sources, including:
* Prowler Hub
* Prowler Docs
* Prowler App
* Instead of calling every tool directly, the agent uses two meta-tools:
* `describe_tool` to retrieve a tool schema and parameter requirements.
* `execute_tool` to run the selected tool with the required input.
* Based on the user's query and the data necessary to answer it, Lighthouse agent will invoke necessary Prowler MCP tools using `discover_tool` and `execute_tool`
Lighthouse AI supports multiple LLM providers including OpenAI, Amazon Bedrock, and OpenAI-compatible services. For configuration details, see [Using Multiple LLM Providers with Lighthouse](/user-guide/tutorials/prowler-app-lighthouse-multi-llm).
Lighthouse AI can only read relevant security data. It cannot modify data or access sensitive information such as configured secrets or tenant details.
## Set Up
Getting started with Prowler Lighthouse AI is easy:
1. Navigate to **Configuration** → **Lighthouse AI**
2. Click **Connect** under the desired provider (OpenAI, Amazon Bedrock, or OpenAI Compatible)
3. Enter the required credentials
4. Select a default model
5. Click **Connect** to save
For detailed configuration instructions for each provider, see [Using Multiple LLM Providers with Lighthouse](/user-guide/tutorials/prowler-app-lighthouse-multi-llm).
### Adding Business Context
The optional business context field lets teams provide additional information to help Lighthouse AI understand environment priorities, including:
* Organization cloud security goals
* Information about account owners or responsible teams
* Compliance requirements
* Current security initiatives or focus areas
Better context leads to more relevant responses and prioritization that aligns with your needs.