Autonomous penetration-testing copilot that orchestrates 20 Kali-grade tools (github.com)

A new autonomous penetration-testing tool has emerged, integrating over 20 robust Kali-grade tools powered by a large language model (LLM) decision engine. Designed specifically for network security professionals—such as red teams and managed security service providers (MSSPs)—this copilot promises comprehensive security assessments with rapid execution. Its seven-phase heuristic playbook encompasses tasks from reconnaissance to vulnerability scanning, all within minutes, delivering actionable insights via structured JSON audit logs and detailed Markdown reports. Significantly, this tool ensures high operational resilience and thorough reporting, featuring Python-based fallbacks to maintain functionality even when certain tools are unavailable on a host system. Built with safety and compliance in mind, it defaults to proof-of-concept only, embedding legal advisories and creating audit trails for every action taken. The deployment is optimized for Kali/Linux environments and supports air-gapped operations with local LLM installations. This breakthrough provides security teams a powerful, efficient means to conduct systematic vulnerability assessments, enhancing the overall reliability of network defenses while promoting adherence to regulatory standards.