SovereignMesh is an enterprise-grade agent control plane built for high-stakes AI operations. It applies zero-trust access control, adversarial consensus, and runtime policy checks to decisions made by autonomous agents before they can affect systems, finances, or infrastructure. The platform uses ReBAC-style authorization, a Consensus Hardening Protocol, and model-armor checks to evaluate proposals, challenge weak reasoning, and lock decisions only when confidence and evidence meet policy thresholds. The project includes a live runtime shield, auditable decision traces, and demo flows that show how agent actions can be governed instead of blindly executed. It is designed for teams that need AI agents to operate with the same controls, reviewability, and accountability as critical production systems. The result is a practical control layer for safe agentic workflows in regulated or mission-critical environments.
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