Runtime Isolation & Policy Enforcement

This lesson explores runtime isolation and policy enforcement mechanisms used to secure AI systems after deployment. Learners will examine how organizations control workload behavior, restrict access, enforce governance requirements, and reduce operational risk during real-world AI operations. The lesson covers runtime isolation technologies, policy engines, zero trust principles, workload identity, authorization controls, guardrails, and continuous enforcement strategies that help organizations maintain secure and trustworthy AI environments.