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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cybersecurity in the age of generative AI: A systematic taxonomy of AI-powered vulnerability assessment and risk management

Valerio Pascucci, Reza Shahbazian, Andrea Pugliese, Narges Movahed et al.
2 citations
Future Generation Computer Systems
Anomaly Detection Techniques and Applications
4.96
article

Cybersecurity in the age of generative AI: A systematic taxonomy of AI-powered vulnerability assessment and risk management

Valerio Pascucci, Reza Shahbazian, Andrea Pugliese, Narges Movahed, Seyedeh Leili Mirtaheric
article en
2 citations

Abstract

• 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.

Future Generation Computer SystemsVol. 175
Openalex Percentile: Top 5%
Anomaly Detection Techniques and Applications
4.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.