IRC-A Protocol Aims to Bring Zero-Trust Security and Dynamic Discovery to Enterprise AI Agents

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A software architect with experience at Citibank and Bloomberg has developed IRC-A, a protocol and gateway architecture designed to address critical security and scalability gaps in enterprise multi-agent AI systems. The system tackles four core production challenges: dynamic agent discovery without hardcoded URLs, channel-level data sovereignty enforcement, concurrent LLM call management, and distributed audit trails. IRC-A was demonstrated through a reference implementation called the Dr. Cureta Healthcare Fleet, deployed on Google Cloud Run, which enforces strict department-level channel isolation to prevent unauthorized data access across medical records. The fortified version of the system upgrades agent identity verification to Ed25519 challenge-response tokens, adds semantic confidence thresholds for routing, and introduces a dual-LLM fallback mechanism between OpenAI and Google Gemini. The architecture is positioned as an alternative to centralized orchestration frameworks like LangGraph and CrewAI, which the author argues create brittle, monolithic dependencies in distributed agent deployments.

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