Governance Blueprints
Two views, one G.A.I.N subject: estate operating model and PGAR on the request path.
Two views, one G.A.I.N subject: estate operating model and PGAR on the request path.
Estate operating model for AI Governance: Should we, Must we, What can go wrong, How do we ensure it. One control system across the estate. Runtime enforcement lives in the Governance Runtime blueprint.
How to implement a Policy-Governed Agent Runtime. PEP/PDP enforcement, subject-action-resource-context contracts, audit replay, step-up, and boundary-specific playbooks.
Reference design for G.A.I.N MCP as transport: client, gateway, server registry. Tool contracts (manifests) live in the Agents Blueprint.
Reference design for G.A.I.N RAG: route-declared retrieval, PEP-gated search, context packs, and validation before synthesis.