AI didn’t wait for your security review. Developers are already using agentic AI, coding assistants, and MCP servers to write, review, and ship code, often without shared security standards or governance. In large orgs, this becomes sprawl: multiple IDEs, many agents, inconsistent rules, and rising risk. The instinctive reaction is to block AI tools entirely. That approach fails fast as developers work around it, security loses visibility, delivery slows, and risk grows.
This talk proposes a better path: treat AI as a first-class platform capability. Using platform engineering, secure approved remote MCP servers, centralized guardrails, and reusable service blueprints, we’ll show how to govern AI usage while helping teams ship AI-based services faster.
We’ll share concrete security gaps, show how to standardize rules across agents/IDEs, and how blueprints make AI development repeatable, secure, and scalable - without slowing teams down.