Adaptive Risk Mitigation Strategies for Generative AI-Driven Threats
Abdelraouf M. Ishtaiwi, Amjad Yousef Aldweesh, Ahmad Al–Qerem · Advances in computational intelligence and robotics book series · 2025
This chapter examines the emerging landscape of threats posed by generative artificial intelligence (AI) technologies and outlines adaptive risk mitigation strategies designed to counter these evolving challenges. By exploring how generative AI can be weaponized to produce deceptive content, cyberattacks, and automated malicious behaviors, the chapter identifies vulnerabilities across various domains, including cybersecurity, information integrity, and data privacy. It proposes a range of organizational, technological, and policy-level interventions that can dynamically adjust to the rapidly changing threat environment. Through case studies and best practice frameworks, the chapter highlights practical tools and techniques to enhance resilience, enabling stakeholders to anticipate and respond effectively to AI-driven risks. Ultimately, it promotes a proactive, adaptable risk management paradigm to safeguard critical systems and uphold trust in digital ecosystems.