Danyal Fayaz@danyal_fayaz490

In today's fast-paced cloud environments, manual Incident Response (IR) is too slow to mitigate active threats. CloudGuard AI is an automated Security Operations Center (SOC) pipeline powered by an intelligent multi-agent system. We engineered three specialized AI agents using the CrewAI framework: ThreatHunter: Ingests raw security logs (e.g., AWS WAF logs) and extracts critical forensic data into structured JSON formats. PolicyChecker: Evaluates the forensic data against strict compliance rules to intelligently determine if action is required. CloudOpsRunner: Instantly generates precise Infrastructure as Code (Terraform) scripts to remediate the vulnerability and block the threat. The workflow is triggered via our custom web dashboard. As the agents process the threat utilizing the ultra-fast Groq LLM, they push real-time status updates and remediation scripts directly to a team chat via the Band API. CloudGuard AI drastically reduces the Mean Time to Respond (MTTR) from hours to mere seconds, enabling autonomous and secure cloud infrastructure management.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.