GHOSTCREW

Red Team and penetration testing professionals often face limited access to realistic, high-fidelity training environments due to live exercises' high cost, time commitment, and logistical complexity. This lack of frequent, practical experience can lead to slower skill development and higher risk during real-world operations. An AI-powered platform offers a scalable solution by simulating decision-making scenarios, modeling outcomes, and providing intelligent feedback in real time. This empowers operators to rehearse complex operations, receive contextual guidance, and learn from simulations, ultimately accelerating proficiency and reducing errors during actual engagements. The platform is a comprehensive AI-driven simulation and decision-support system tailored for offensive cybersecurity teams. It integrates real-time tactical guidance and an adaptive feedback loop to enhance Red Team performance. Key features include an AI engine that provides operator guidance during penetration testing. This recommendation system suggests courses of action and a centralized repository of past operations and lessons learned. The system supports modular integration with existing tooling, enabling users to interact through a command-line interface and dashboard for penetration testing activities. The tool is designed for use throughout the Red Team lifecycle, from training to live operations and post-mission analysis. During pre-engagement planning, it can simulate victim machine and provide decision making opportunities for intended operator training. During engagement, it offers just-in-time guidance and adaptive feedback from the AI engine. After missions, it assists with debriefs by highlighting tools, strategies, training feedback, and grading.