Abstract: Advanced cybersecurity systems and methods may provide enhanced security of critical infrastructure without the risks associated with traditional penetration testing. The systems and methods may model network vulnerabilities and simulate attack scenarios to identify potential security breaches. This supports the integration of generic rules and common properties, allowing for dynamic and scalable vulnerability analysis across complex network systems. Additionally, the systems and methods incorporate a multi-purpose fuzzer and an AI-driven Cyber Reasoning System (CRS) that autonomously detects and remedies software vulnerabilities based on predefined logic and pattern recognition. This comprehensive approach identifies existing vulnerabilities and predicts potential future threats by analyzing changes in network behavior and data flow.