🔴 RedSwarm: AI-Powered Red Team Simulation Engine

A simple, universal swarm intelligence engine for red teaming — simulate real attackers, not just tools. Security training often falls into two traps: static labs that feel like a checklist, and dumb automation that chains tools without context. RedSwarm sits in the middle: a multi-agent simulator where each agent has a persona, memory, and tactics, and the system produces an attack narrative you can reason about — including MITRE ATT&CK mapping and a visual attack graph. What problem does it solve? Pain Typical answer RedSwarm’s angle Red teaming is slow and expensive Manual engagements Many parallel, adaptive attack paths in a controlled model Training feels fake Scripted scenarios Persona-driven agents (e.g. APT-style, opportunistic, insider) Blue teams see alerts, not stories SIEM noise End-to-end chain — how, why, what might come next Hard to test “what if we patch X?” Guesswork God Mode — inject defenses and watch the swarm adapt The point is not to replace a skilled red team