Red Teaming with Artificial Intelligence-Driven Cyberattacks: A Scoping Review
Journal:
arXiv
Published Date:
Mar 25, 2025
Abstract
The progress of artificial intelligence (AI) has made sophisticated methods
available for cyberattacks and red team activities. These AI attacks can
automate the process of penetrating a target or collecting sensitive data. The
new methods can also accelerate the execution of the attacks. This review
article examines the use of AI technologies in cybersecurity attacks. It also
tries to describe typical targets for such attacks. We employed a scoping
review methodology to analyze articles and identify AI methods, targets, and
models that red teams can utilize to simulate cybercrime. From the 470 records
screened, 11 were included in the review. Various cyberattack methods were
identified, targeting sensitive data, systems, social media profiles,
passwords, and URLs. The application of AI in cybercrime to develop versatile
attack models presents an increasing threat. Furthermore, AI-based techniques
in red team use can provide new ways to address these issues.
