This session looks at what agentic AI means for developer security in practice. We will break down how autonomous and semi autonomous coding agents fail, where trust in automation goes too far, and why traditional secure coding guidance is no longer enough. The focus is on concrete scenarios teams are already facing and on pragmatic guardrails that keep agents useful without giving them unchecked power. The goal is to help security and engineering teams work with agentic AI in a way that scales productivity while keeping control, visibility, and accountability firmly in place.