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AI Agents in Offensive Security

Author

Listed:
  • Jerry Huang

    (The University of Chicago)

  • Ken Huang

    (DistributedApps.ai)

  • Chris Hughes

    (Aquia)

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.

Suggested Citation

  • Jerry Huang & Ken Huang & Chris Hughes, 2025. "AI Agents in Offensive Security," Progress in IS,, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-90026-6_6
    DOI: 10.1007/978-3-031-90026-6_6
    as

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