Secure Dev Environments & Sandboxing

This lesson explores secure development environments and sandboxing practices used to protect AI systems throughout development, testing, and deployment. Learners will examine how organizations secure AI engineering workflows, isolate workloads, manage dependencies, and reduce the risk of compromise within development pipelines. The lesson covers development environment security, container isolation, sandboxing technologies, access controls, secrets management, and secure engineering practices that support resilient and trustworthy AI systems.