SecureAI

Inspiration

Modern developers are shipping code faster than ever, but security is often overlooked due to complexity, cost, and lack of accessible tools. Existing solutions like Snyk and SonarQube are powerful but expensive and not beginner-friendly.

We wanted to create something fast, accessible, and actually usable during development — a tool that gives instant security insights in plain English, without requiring installation, setup, or deep expertise.

That’s how SecureAI was born — a web-first AI security assistant that makes secure coding simple.

What it does

SecureAI is an AI-powered security audit web app that scans:

Source code (JavaScript, Python, Java, etc.) Environment/config files (.env, JSON, YAML) API endpoints Security score (0–100) Vulnerability detection (SQL injection, exposed secrets, misconfigurations) Plain-English explanations Ready-to-copy fixes

How we built it

Frontend: Next.js 14 + Tailwind CSS Editor: Monaco Editor (same engine as VS Code) AI Engine: Gemini API for vulnerability analysis Backend: Next.js API routes (secure AI calls) Database: Firebase Deployment: Vercel

We engineered a structured AI prompt that forces Gemini to return clean JSON with:

vulnerability severity description fix suggestions line numbers

Challenges we ran into

AI output inconsistency → Solved by strict prompt engineering (JSON-only responses) Parsing and displaying structured results → Built a clean pipeline from AI → API → UI False positives in vulnerability detection → Balanced by improving prompts and adding clearer explanations Keeping API keys secure → Handled via server-side Next.js API routes Time constraints (hackathon build) → Focused on a tight MVP with a single powerful workflow

Accomplishments that we're proud of

Built a fully working AI security scanner in a day Created a developer-friendly UX with Monaco Editor Delivered real, actionable vulnerability fixes (not just detection) Designed a freemium SaaS model ready for real users Successfully integrated AI into a practical, high-impact use case

What we learned

Developers value clarity over complexity A great UI/UX can make even complex tools feel simple AI can significantly reduce manual security effort, but needs guardrails Building for the browser (web-first approach) increases accessibility massively

What's next for SecureAI

We plan to evolve SecureAI into a complete developer security platform:

GitHub repository scanning VS Code extension Full project (ZIP) scanning Team collaboration features Scan history & analytics dashboard Enterprise features (SSO, CI/CD integration) Faster and more accurate AI models

Built With

• firebase
• geminiapi
• monacoeditor
• next.js
• tailwind
• vercel