Abstract: The integration of autonomous Agentic AI into enterprise environments has exposed a critical deficiency in traditional networking infrastructure. While legacy architectures comprise API Gateways and Service Meshes which excel at managing deterministic, syntactic traffic, they are fundamentally ill-equipped to govern the fluid, probabilistic, and semantic communication patterns inherent to Multi-Agent Systems (MAS). This paper identifies this architectural void as a “Semantic Gap” and proposes a novel solution: the “Enterprise Agentic Mesh” (EAM). Functioning as a cognitive infrastructure layer, the EAM introduces a Semantic Control Plane for intent-based routing, a Governance Sidecar for “Cognitive Circuit Breaking,” and a distributed ledger for immutable agent observability. By synthesizing emerging protocols (such as MCP and A2A) with established IEEE standards, this paper provides a comprehensive blueprint for transitioning from rigid “North-South” transactions to secure, interoperable “East-West” agent collaboration. The proposed framework specifically addresses the risks of agent sprawl, hallucination cascades, and prompt injection, offering a roadmap for scaling autonomous systems with Zero Trust principles.