AI systems often inherit excessive permissions beyond their intended purpose, creating significant security risks as AI agents, copilots, and autonomous workflows gain access to sensitive data and business-critical systems through inherited permissions from applications, APIs, service accounts, and user roles. The article outlines five major risks including data exposure and compliance violations, and describes how organizations can implement AI Access Governance to identify and remediate unnecessary permissions. Continuous monitoring and least-privilege enforcement are presented as essential controls for managing AI permission sprawl.