AI Security Landscape

An open, community-maintained map of practical AI use cases in cybersecurity, organised by ML / AI approach and security department.

Live site: https://part-io.github.io/ai-security-landscape/

Each topic lives in a single Markdown file. Add one and the site picks it up automatically. No JavaScript or build knowledge required to contribute.

qr-code.png in the repository root encodes the live URL above, ready to drop into slides or print materials.

How it works

• Content. Every topic is a Markdown file in src/content/topics/.
• Schema. src/content/config.ts defines the required frontmatter fields (title, departments, ML types, maturity, factors, references, connections, optional hero image). The build fails if a topic violates the schema.
• Rendering. Astro builds a fully static site. No backend, no database.
• Hosting. GitHub Pages, deployed automatically by .github/workflows/deploy.yml on every push to main.
• PR validation. .github/workflows/validate.yml runs astro check and a full build on every pull request, so frontmatter errors and broken connection references fail before merge.

Run locally

npm install
npm run dev      # http://localhost:4321
npm run build    # static output in dist/

Node 18+ recommended.

Contributing

See CONTRIBUTING.md. The short version: copy src/content/topics/_template.md, fill in the frontmatter, write a short description, open a pull request. CI validates the schema for you.

License

MIT, see LICENSE.