Moving an LLM application from prototype to production requires more than choosing a model. This workshop demystifies the context architecture behind production AI—prompts, RAG, memory, tools, agents, identity and data flows—and shows how these layers change the security model. Through practical patterns and demonstrations, participants will learn how to identify trust boundaries, assess prompt injection, data leakage and unsafe tool-execution risks, design layered guardrails, and validate controls before production. The session concludes with a practical production-readiness approach for secure, observable and governed LLM/RAG/agentic applications.