@chuks197

AI agents can wire money, leak data, and deploy code. In a multi-agent swarm, there is nothing between what an agent wants to do and what it actually does. No checkpoint. No trail. No oversight. One rogue agent causes irreversible damage before anyone knows. Airlock fixes this. Airlock sits as a governance membrane between agents and tools. Every action request passes through the Warden, which evaluates it against a declarative YAML policy before any tool is called. Safe actions are auto-cleared in milliseconds. High-stakes actions are escalated to a human via Band @mention. Dangerous actions are hard denied and never executed. We demonstrated this with a real rogue vendor agent built on the A2A protocol with a proper agent card and declared skills. It attempted to export all customer PII and wire $75,000 to an attacker account. Airlock intercepted both before any tool fired. The compliance ledger writes itself. Every request, verdict, and human decision is captured in Band history with no second database. The trail is a byproduct of the system working, not an afterthought. Built on Band AI for the Band Hackathon 2026. Policy engine in Python with 15 unit tests. Dashboard in Next.js with real-time ledger, human gate UI, and a DiffPanel showing exactly what raw A2A would have executed without Airlock. Five agents. Nine rules. Seven millisecond verdict latency. Nothing crosses ungoverned.

📅 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.