Agentic AI Establishes Protocols For Scalable Coordination

Recent posts from Cisco, Google and NVIDIA outline practical steps for building agentic AI: Cisco highlights Model Context Protocol (MCP) and Agent-to-Agent (A2A) coordination, Google describes SAGE training for deeper, multi-step search agents, and NVIDIA warns of new security risks from agent autonomy. Together they argue for layered MCP+A2A architectures and OS-level sandboxing to scale agentic systems safely in production.