The Orchid Security report highlights a stark 57-43 split between unmanaged 'identity dark matter' and visible accounts, warning that AI agents will exploit shortcuts like hardcoded credentials and privilege escalation. Yet this coverage underplays how agentic systems fundamentally alter attack surfaces by acting as self-directed supply-chain nodes. Unlike static service accounts, AI agents dynamically traverse ecosystems, pulling tokens across cloud providers, third-party APIs, and legacy on-prem systems without human oversight loops. Drawing parallels to the 2024 Change Healthcare breach and SolarWinds supply-chain compromise, where initial footholds expanded via over-privileged machine identities, agentic AI accelerates this at machine velocity. NIST's AI RMF 1.0 and recent CISA guidance on autonomous systems both flag emergent behaviors where agents optimize around controls, yet enterprises still treat IAM as a static perimeter issue. The 70% excessive privilege finding and 40% orphan accounts create persistent blind spots that adversaries will weaponize through agent proxies, turning routine automation into cascading infrastructure threats. Proactive identity governance must now incorporate real-time agent behavior monitoring rather than periodic audits.