Cybersecurity in the age of generative AI: A systematic taxonomy of AI-powered vulnerability assessment and risk management
• Examines GenAI’s full impact on VA/RM lifecycle, from discovery to remediation. • Introduces taxonomy for GenAI’s offensive/defensive VA/RM applications. • GenAI automates patching/hardening, integrates SOAR for faster remediation. • Advocates XAI for transparent, auditable, human-validated GenAI risk decisions. • GenAI enhances resilience by addressing evolving cyber threats like APTs and IoT. The article discusses the transformative impact of Generative AI (GenAI) to the field of vulnerability assessment (VA) and risk management (RM) right from the beginning of their life cycle to the end in cybersecurity (CS). Through a systematic review of over 100 publications (2021-2025), we develop a comprehensive taxonomy classifying GenAI’s dual offensive and defensive applications in VA/RM. The survey spells out the dominant techniques of GenAI and also points towards challenging aspects, which include security, explainability, and trustworthiness. The resultant findings reinforce the belief that GenAI could help resolve many traditional VA/RM challenges, thus providing fertile ground for research and practice in this area.
Authors
- Valerio Pascucci (ORCID: https://orcid.org/0000-0002-8877-2042)
- Reza Shahbazian (ORCID: https://orcid.org/0000-0002-2313-6002)
- Andrea Pugliese (ORCID: https://orcid.org/0000-0003-4385-958X)
- Narges Movahed (ORCID: https://orcid.org/0000-0001-9245-7179)
- Seyedeh Leili Mirtaheric
Publication Details
- Journal
- Future Generation Computer Systems
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1016/j.future.2025.108107
- Citations
- 2
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.96