Secure AI System Architecture

This lesson explores secure AI system architecture and the principles used to design resilient, trustworthy, and secure AI platforms. Learners will examine architectural components across the AI lifecycle, including data pipelines, model services, inference systems, APIs, monitoring platforms, and governance controls. The lesson explains how security-by-design, defense-in-depth, segmentation, trust boundaries, and operational resilience help organizations build AI systems capable of resisting threats while supporting business objectives and regulatory requirements.