Vibe Coding DiscoverCyberStrikeAI
View on GitHubThe system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
CyberStrikeAI is a Go-based AI-native security operations platform that orchestrates Eino-powered agents, 100+ MCP security tools, RAG knowledge, and human-in-the-loop approvals for authorized pentesting and red-team work, with attack-chain modeling, audit logs, and WebShell/C2 integrations.
Use Cases
Authorized penetration testing with AI agentsAttack surface enumeration and reconVulnerability triage and lifecycle trackingCTF challenge solvingMulti-agent security orchestration (plan-execute, supervisor)Human-in-the-loop approval of high-risk tool callsRAG over security knowledge base with rerankingAttack-chain modeling and step-by-step replayWebShell management and post-exploitation workflowsAutomated security reporting and remediationThreat intel collection and asset managementCloud/container/binary security assessment recipes
Built With
- Language
- Go
- Frameworks
- Eino · Eino-Ext · Gin · MCP Go SDK · OpenTelemetry · SQLite · Zap · Sonic · Gorilla WebSocket
Tags
ai-agents · multi-agent · cybersecurity · penetration-testing · mcp · rag · security-tools · human-in-the-loop · attack-chain · red-team · agent-skills · ctf · vulnerability-management · c2 · orchestration · go