AiCyber Shield

• 

  Dashboard with listed vulnerabilities

• 

  Vulnerabilities with a list of vulnerability types and mitigation.

🚀 Inspiration

Cybersecurity is expensive, manual, and reactive. Many startups lack access to expert security teams. We wanted to build a system that acts like a team of AI security engineers working autonomously.

💡 What it does

AiCyber Shield is an AI-powered autonomous security platform that:

Scans systems for vulnerabilities Generates attack strategies Executes security tools Fixes errors automatically Produces detailed reports

It uses a multi-agent system where each AI has a role (planner, reviewer, executor, etc.), mimicking a real security team.

🏗️ How we built it Central orchestration engine (main.py) to manage workflow Multiple AI agents (strategy, execution, review, reporting) Integrated tools like Nmap, SQLMap, FFUF via type-safe wrappers Azure OpenAI for intelligence + RAG for memory Kubernetes + Azure for scalable deployment ⚠️ Challenges Coordinating multiple AI agents without conflicts Handling failures in real-world security tools Managing long-running workflows and context 🏆 Accomplishments Fully autonomous end-to-end security pipeline Real-world tool integration Multi-agent AI system working collaboratively 📚 What we learned Orchestration is more important than just AI Multi-agent systems need strict control loops Real-world systems are much messier than demos 🔮 What's next SaaS platform with dashboard CI/CD integration (DevSecOps) Autonomous red teaming & self-learning AI

Built With

• azure
• container
• fastapi
• kubernetes
• nextjs