Securing AI Systems
Satish Srinivasan, Raghvinder S. Sangwan · 2026
Securing AI systems involves protecting models, data, and infrastructure from cyber threats through robust access controls, encryption, continuous vulnerability monitoring, and strong authentication. This chapter introduces foundational AI security concepts, including threat models aligned with system life cycles and methods for evaluating robustness and resilience. It presents best practices for mitigating vulnerabilities and explores the limitations of current defense mechanisms. This chapter also discusses the challenges of integrating multiple security strategies and offers guidance for building comprehensive, layered defenses for AI systems.