CyberStrikeAI

中文 | English

The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.

CyberStrikeAI connects planning, execution, human oversight, evidence, and replay in one auditable workspace. Built in Go, it combines Eino-powered agents, MCP-native tools, RAG knowledge, visual workflows, and attack-chain modeling and analysis for authorized security operations.

Start here: Quick start · Documentation · Security hardening

[!IMPORTANT] Use CyberStrikeAI only on systems you own or are explicitly authorized to test. For shared or production environments, review the security model and hardening guide before enabling high-risk tools, WebShell, or C2 capabilities.

Interface & Integration Preview

System Dashboard Overview

The dashboard provides a comprehensive overview of system runtime status, security vulnerabilities, tool usage, and knowledge base, helping users quickly understand the platform's core features and current state.

More interface screenshots

Core Features Overview

Highlights

Agents and orchestration

• 🤖 Agentic execution translates natural-language intent into governed, auditable security actions.
• 🧩 Eino orchestration supports single-agent execution plus Deep, Plan-Execute, and Supervisor multi-agent modes.
• 🔀 Graph workflows combine Agents, tools, conditions, approvals, and outputs into reusable flows.
• 🎭 Role-based testing provides focused prompts and tool policies for common security scenarios.

Tools and knowledge