How to Govern AI Agents Before Agent Sprawl Sets In

AI agent adoption becomes risky when organizations scale faster than their ability to see, control, and retire what they deploy. This insight explains why agent sprawl creates security, cost, compliance, and technical-debt problems, and outlines seven governance responses: a centralized inventory, control plane, identity management, development standards, lifecycle monitoring, shared business context, and governance-by-design. Technology leaders should treat AI agents as governed operational assets with clear ownership, bounded access, and ongoing review before scale makes control materially harder.