What if your security pipeline could find vulnerabilities, file issues, write fixes, run CI, and request human approval — all autonomously? In this hands-on session, we start with a polyglot microservices repo that has zero security tooling and progressively build a fully autonomous agentic DevSecOps pipeline using GitHub Copilot. You'll see how AI agents perform repo-wide security assessments, how custom instructions shape agent behavior across the SDLC, and how agentic workflows chain dependency scanning, SAST, and test coverage checks into a self-driving loop: scan → auto-create issues → Coding Agent fixes → CI validates → AI code review → human approves. We'll also build custom Copilot agents for IaC security scanning and use GitHub's agentic workflow capabilities to generate recurring security reports — no human trigger required. Walk away with a working, repeatable pattern for embedding autonomous AI agents and agentic workflows into every stage of your DevSecOps lifecycle.