Unit 11: Secure AI Deployment & Model Robustness
Protect your AI from drift, attacks, and failure — and ensure it performs under pressure.
Learning Objectives
By the end of this lesson, you’ll be able to:
Understand security and robustness requirements for AI systems
Identify common threats to AI system integrity
Apply best practices for adversarial defense and resilience
Deploy models using secure, traceable, and recoverable methods
Document security controls and robustness testing for accountability
⏱️ Suggested completion time: 15 minutes
