AI security testing platform that brings its own C2

What it does CyberStrikeAI is a Go-based security testing platform that wraps over a hundred open-source tools—from nmap and sqlmap to nuclei and bloodhound—behind a web dashboard and AI agents. Users chat with OpenAI-compatible models to run scans, manage vulnerabilities, track attack chains, and even operate a lightweight built-in C2 framework for authorized engagements. It handles the full lifecycle: conversation, tool execution, result visualization, and audit logging, with SQLite persistence and role-based access.

The interesting bit The project leans heavily on CloudWeGo Eino to run multi-agent orchestration—modes like deep, plan_execute, and supervisor—where sub-agents can progressively disclose skills for specific domains like SQLi or API security. It also speaks native MCP (Model Context Protocol) over HTTP, stdio, and SSE, effectively turning the entire tool suite into an interoperable AI function catalog that can federate with external systems.

Key highlights

• 100+ curated tool recipes covering the full kill chain, from reconnaissance and exploitation to forensics and post-exploitation, with YAML-based extensions
• Multi-agent orchestration via Eino with single-agent ReAct and three multi-agent modes, plus 20+ sample skill packs for specialized testing
• Built-in C2 framework with encrypted beacon channels, listeners, session/task queues, and MCP tools for AI-driven command-and-control
• Human-in-the-loop approval gates with tool allowlists, plus chatbot integrations for DingTalk and Lark so you can approve a shell from your phone
• Knowledge base with RAG and embedding-based retrieval, plus project “shared facts” that persist cross-session context like targets and credentials

Caveats

• The built-in C2, WebShell manager, and exploitation features are repeatedly marked for authorized testing only, so operational security and legal clearance are entirely on you
• Most of the 100+ tools are external binaries that must be present on the host; the AI falls back to alternatives when something is missing, but the platform is fundamentally an orchestration layer around existing scanners

Verdict Red teams and security engineers who want an auditable, collaborative AI copilot for real tooling will find this useful. If you are looking for a fully self-contained scanner that runs without dependencies, this is not it.