Metasploit [47] |
Comprehensive exploitation capabilities; extensive module library for payloads and post-exploitation. |
Lacks automation; requires skilled operators; limited discovery and reporting. |
Partial: Focused on exploitation and reporting. |
Nessus [48] |
Robust vulnerability scanning; extensive plugin support. |
Limited exploitation features; requires external integration for advanced reporting. |
Partial: Emphasizes discovery and analysis. |
OWASP ZAP [49] |
Highly effective for web application scanning; CI/CD integration. |
Limited for multi-layered systems; manual intervention needed for reporting. |
Partial: Focused on discovery and analysis. |
Burp Suite [50] |
Customizable for web penetration testing; rich plugin ecosystem. |
Requires significant manual effort; limited to web applications. |
Partial: Focused on discovery and analysis. |
PentestGPT [51] |
AI-based approach; rapid vulnerability identification; generates remediation suggestions. |
Limited in complex system architectures; struggles with adaptive learning. |
Partial: Covers preparation and discovery. |
CyberProbe AI [52] |
Advanced AI-driven scanning; effective for threat prioritization; integrates seamlessly with DevSecOps pipelines. |
Expensive licensing; relies on pre-trained models; limited exploit generation. |
Partial: Focuses on preparation, discovery, and reporting. |
BERT QA RL + RS (This proposal) |
Fully automated end-to-end framework; reinforcement learning ensures adaptability; QA provides contextual understanding; excels in multi-layered system testing. |
Higher resource demands; training requires significant time. |
Complete: Covers all NIST phases, including preparation, discovery, analysis, and exploitation. |