Deployed once, in front of every place your agents can act — not inside the model, and not as another prompt filter. GhostMesh Grid governs execution, not conversation.
Most AI security products live inside the reasoning loop — scanning prompts, scoring outputs, testing for jailbreaks before release. GhostMesh Grid lives at the execution boundary instead: the function call, the API request, the database write, the message send, the device command. That boundary exists no matter which model, which orchestration framework, or which agent architecture you're running — which is why the Grid integrates at the tool-use layer rather than the model layer.
Intercepts every outbound action from an agent runtime before it reaches a live system, and blocks execution until a verdict is returned.
Sidecar process, SDK middleware, or gateway proxy in front of your tool/API layer.
Stores signed, versioned rules describing which agents may take which actions, under which conditions — evaluated per request, not per deployment.
Policy graph service, editable via config or a future policy console.
Propagates a revocation instruction to every Sentinel Node an agent touches, so a single command removes execution rights mesh-wide.
Distributed coordination layer, designed for redundancy across nodes and regions.
Records every intercepted action, its verdict, and the policy version that produced it, in an append-only, tamper-evident log.
Queryable store for audit, incident response, and compliance review.
Baselines what "normal" looks like for each agent and flags deviations that no static policy rule anticipated.
Continuous background analysis feeding both PolicyMesh and Kill Fabric.
GhostMesh Grid is engineered around low-latency interception and mesh-wide revocation — figures below are current engineering targets for the architecture, not third-party-audited benchmarks. We'll share real measured numbers as they're independently verified.