PenTest++: Elevating Ethical Hacking with AI and Automation
Al-Sinani, Haitham S., Mitchell, Chris J.
–arXiv.org Artificial Intelligence
Traditional ethical hacking relies on skilled professionals and time-intensive command management, which limits its scalability and efficiency. To address these challenges, we introduce PenTest++, an AI-augmented system that integrates automation with generative AI (GenAI) to optimise ethical hacking workflows. Developed in a controlled virtual environment, PenTest++ streamlines critical penetration testing tasks, including reconnaissance, scanning, enumeration, exploitation, and documentation, while maintaining a modular and adaptable design. The system balances automation with human oversight, ensuring informed decision-making at key stages, and offers significant benefits such as enhanced efficiency, scalability, and adaptability. However, it also raises ethical considerations, including privacy concerns and the risks of AI-generated inaccuracies (hallucinations). This research underscores the potential of AI-driven systems like PenTest++ to complement human expertise in cybersecurity by automating routine tasks, enabling professionals to focus on strategic decision-making. By incorporating robust ethical safeguards and promoting ongoing refinement, PenTest++ demonstrates how AI can be responsibly harnessed to address operational and ethical challenges in the evolving cybersecurity landscape.
arXiv.org Artificial Intelligence
Feb-13-2025
- Country:
- Asia > Middle East
- Oman (0.14)
- Europe (1.00)
- North America > United States (0.28)
- Asia > Middle East
- Genre:
- Research Report > New Finding (0.47)
- Industry:
- Government > Military
- Cyberwarfare (0.56)
- Information Technology > Security & Privacy (1.00)
- Government > Military
- Technology: