AI Agents in Offensive Security

Jerry Huang, Ken Huang () and Chris Hughes
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Jerry Huang: The University of Chicago
Ken Huang: DistributedApps.ai
Chris Hughes: Aquia

Chapter Chapter 6 in Agentic AI, 2025, pp 167-205 from Springer

Abstract: Abstract Chapter 6 explores the use of AI agents in offensive security, emphasizing their growing role in addressing the increasing complexity of cyber threats. Offensive security, traditionally centered on manual penetration testing and adversarial assessments, now benefits significantly from AI Agent–based approaches. These AI agents can autonomously identify vulnerabilities, simulate attack scenarios, and assist in social engineering, software supply chain attacks, and vulnerability discovery. The chapter includes in-depth examples of AI integration in red teaming, social engineering, and software supply chain manipulation. Notably, it provides code examples demonstrating how AI agents like “BountyAgent” and “DeepFuzz” can be implemented for vulnerability discovery and zero-day identification. It also discusses the architectural evolution of offensive platforms.

Keywords: Offensive security; AI agents; Red teaming; Social engineering; Software supply chain attacks; Vulnerability discovery; Automated testing; Deepfake; AI-enabled phishing; Zero-day Vulnerabilities; Adaptive fuzzing; Ethical hacking; Cybersecurity; AI-driven resilience; BountyAgent; DeepFuzz (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-90026-6_6

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DOI: 10.1007/978-3-031-90026-6_6

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