Most enterprises manage three distinct AI traffic types separately: LLM requests to models like OpenAI, MCP traffic for agent-to-tool interactions, and agent-to-agent (A2A) delegation, creating fragmented authentication rules and logging systems. A unified AI Gateway solves this by processing all three protocols through a shared governance layer, enabling one security model, consistent tracing, unified cost tracking, and coherent policy enforcement across all AI interactions.