Traditional IAM confidence measures assume access is stable, attributable, and reviewable over time. Autonomous agents change context during execution, span multiple platforms, and may complete sensitive actions before a review cycle can observe them. That makes confidence depend less on credential strength and more on runtime governance, traceability, and ownership.