Adversarial AI Challenges and Opportunities in Ethical Hacking

Adversarial AI is redefining ethical hacking by enabling dynamic, high-fidelity simulations that better mirror real-world cyber threats. This chapter explores the integration of adversarial techniques, such as generative adversarial networks (GANs) and automated red-teaming, into cybersecurity practices, emphasizing their transformative impact on model testing and system defense. It discusses emerging best practices, ethical boundaries, and the need for interdisciplinary collaboration. The chapter concludes with a roadmap for industry, academia, and policymakers to responsibly harness adversarial AI, ensuring security and resilience in an increasingly AI-driven digital landscape.

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