Why do autonomous agents break traditional IAM confidence measures?

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.