Autonomous AI agents deployed across enterprise environments are accumulating credentials and executing privileged multi-step actions outside existing IAM controls, creating ungoverned identity sprawl, opaque audit trails, and unmitigated prompt injection risk. This is an architectural governance gap rather than a discrete patchable vulnerability — it applies to any organization deploying agentic AI workloads regardless of which AI platform or cloud provider is in use.