Ed1s0nZ/CyberStrikeAI

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

What it solves

CyberStrikeAI addresses the complexity of modern security operations by bridging the gap between high-level security intent and technical execution. It automates repetitive security tasks, manages complex attack chains, and provides an auditable workspace for authorized penetration testing and vulnerability management.

How it works

The system uses an agentic orchestration engine (Eino) to translate natural language instructions into actionable security tasks. It integrates with a vast library of over 100 security tools (like nmap, sqlmap, and nuclei) via Model Context Protocol (MCP) and uses RAG (Retrieval-Augmented Generation) for knowledge management. The platform supports multi-agent modes—including supervisor and plan-execute patterns—and includes human-in-the-loop governance to ensure all AI-driven actions are approved and auditable.

Who it’s for

This platform is designed for security researchers, penetration testers, and IT professionals conducting authorized security assessments and vulnerability research.

Highlights

  • Agentic Execution: Translates natural language into governed, auditable security actions.
  • Multi-Agent Orchestration: Supports single-agent, deep, plan-execute, and supervisor modes.
  • Extensive Tooling: Includes 100+ curated tool recipes for network scanning, exploitation, and forensics.
  • Advanced Knowledge Management: Combines vector retrieval, reranking, and vision analysis for comprehensive intelligence.
  • Security Governance: Features RBAC, human-in-the-loop approvals, and full audit logging.