White-Hat — Autonomous Remediation Swarm turns enterprise security from reactive alerting into proactive, verifiable resolution. Instead of just flagging a vulnerability, a swarm of four specialized agents collaborates inside a single Band.ai room to actually fix and prove the fix. Each agent is a different specialist, deliberately built in a different agentic framework to showcase true cross-framework collaboration — unified only by Band's @mention message routing: ▎ - 🕵️ The Hacker (CrewAI) scans the repository, pinpoints the exploit vector, and classifies it (CWE + OWASP). ▎ - 🔧 The Engineer (LangGraph) writes and applies a root-cause patch. ▎ - 🧪 The QA Tester (LangGraph) runs the real pytest suite in a sandbox; on failure it loops the logs back to the Engineer. ▎ - 📋 The Compliance Auditor (CrewAI) checks the patch against SOC 2 / OWASP policy and routes a PASS/FAIL verdict to a human approver. When the chain completes, the full Band transcript is sealed into a SHA-256 tamper-evident compliance manifest for audit. The demo target ships with a planted SQL injection (CWE-89); you watch the test suite flip from 🔴 failing to 🟢 passing live, then a human makes the final high-stakes deploy decision. Architecturally, we built no custom web stack — Band.ai is the collaboration bus, the live dashboard, and the human approval gate. Purpose-built for Track 3: Regulated & High-Stakes Workflows.
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