museum-exhibit

Overview

AI-focused security backend for a museum exhibit. Receives SIEM alerts, analyzes them with an AI agent, and generates structured security reports.

Features

• Receives alerts via HTTP POST endpoint
• AI agent generates:
  • Summary
  • Findings
  • Action Items
• Modular three-layer architecture (Repository, Service, Controller)
• In-memory database for prototyping
• API documentation with Scalar (Swagger UI for .NET 9)
• CI/CD pipeline with GitHub Actions:
  • Linting (dotnet format, Super-Linter)
  • Security scanning (CodeQL)
  • Build verification

API Usage

POST /api/alert/report

{
	"description": "Alert description",
	"metadata": "Alert metadata"
}

Returns a structured report.

Getting Started

1. Clone the repo
2. Run dotnet build and dotnet run in MuseumExhibitApi
3. Access API docs at /scalar/v1

CI/CD

• Automated checks on push to main
• Lint, scan, and build steps

Future Plans

• Integrate real AI models for report generation
• Add persistent database
• Build frontend dashboard