Ai Cybersecurity Analyzer

CI

Web app that analyzes Python code for security issues using Semgrep (static analysis) and an OpenAI Agents workflow via the Semgrep MCP server.

Features

• Security scanning: Semgrep findings with AI-assisted explanation and remediation hints
• Simple local dev: Next.js UI (port 3000) + FastAPI API (port 8000)
• Single-container production: FastAPI serves the statically exported frontend on port 8000
• Infrastructure as code: Terraform stacks for AWS / Azure / GCP (optional)

Stack

Layer	Tech
Frontend	Next.js (TypeScript), Tailwind
Backend	Python 3.12, FastAPI, uv
Analysis	Semgrep, MCP, OpenAI Agents
Infra	Terraform (AWS, Azure, GCP)

Prerequisites

• Python 3.12+ and uv
• Node.js 20+ and npm
• Docker (optional, for container run)
• Terraform (optional, for cloud deploy)

Environment

Create a .env in the repo root (do not commit it):

• OPENAI_API_KEY — OpenAI API access
• SEMGREP_APP_TOKEN — Semgrep (Semgrep Cloud / App token as required by your setup)

Run locally

Backend (port 8000):

cd backend
uv sync
uv run server.py

Frontend (port 3000, separate terminal):

cd frontend
npm install
npm run dev

Open http://localhost:3000.

Run with Docker

From the repo root (with .env present):

docker build -t cyber-analyzer .
docker run --rm -p 8000:8000 --env-file .env cyber-analyzer

Open http://localhost:8000.

Repo layout

├── backend/     # FastAPI app, MCP / agent wiring
├── frontend/    # Next.js UI (static export in production)
├── terraform/   # azure/, gcp/, aws/ — infra as code
├── scripts/     # deploy-aws.sh, destroy-aws.sh
├── Dockerfile   # Single-container production build

Deployment

Terraform stacks live under:

• terraform/aws (AWS App Runner + ECR)
• terraform/azure (Azure Container Apps)
• terraform/gcp (GCP Cloud Run)

See terraform/README.md for per-cloud details and prerequisites.

Deploy with scripts (recommended)

From the repo root:

aws sts get-caller-identity
./scripts/deploy-aws.sh

It prints the Service URL at the end.

Validate deploy / cleanup

./scripts/check-aws-deploy.sh
./scripts/check-aws-cleanup.sh

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Azure and GCP (optional)

Use the Terraform stacks in terraform/azure and terraform/gcp. The quickest way to get oriented is to start with:

• terraform/README.md (overview + commands)
• terraform/azure (Azure Container Apps)
• terraform/gcp (GCP Cloud Run)