AI agents are being deployed into enterprise workflows right now. But they operate with no governance layer. They pass data to each other blindly. Nobody verifies the handoff happened correctly. Nobody checks that outputs follow organizational rules. Nobody confirms which agent is actually sending the data. There is no audit trail. We built the governance infrastructure that sits between agents. Not just the agents themselves, the layer that makes agents trustworthy enough to deploy in regulated environments. Four governance primitives: Structure — Iron-Thread validates every agent output against a registered schema and builds a SHA-256 hash chain. Handoff — ChainThread wraps every agent-to-agent handoff in a signed envelope, verifies sender identity, and checks the payload against a contract. Compliance — PolicyThread evaluates every output against organizational rules using keyword checks and semantic evaluation via Claude. Identity — AgentID issues cryptographic credentials to every agent and makes trust decisions via reputation scores. Demonstrated on a loan review pipeline running through Band. Four agents : Intake, Risk, Compliance, Decision coordinate in real time. Every handoff is verified. Every output is validated. Every compliance rule is checked. A tamper-evident audit trail runs from first input to final decision, cryptographically signed and provable to a regulator. Built with Band for coordination and Thread Suite for governance. The governed multi-agent platform for regulated industries.
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