Governance-as-a-Service (GaaS)
The GRC-P standard is the production-ready implementation of the Governance-as-a-Service (GaaS) framework.
Independent academic research (e.g., Gaurav et al., 2025, arXiv:2508.18765v2) validates the necessity of a "decoupled governance layer" for AI safety. GRC-P operationalizes this by strictly separating Authority (GovenAI Registry) from Enforcement (JobQue Gatekeeper), ensuring governance is structural rather than probabilistic.
GRC-P Convictions (Normative Architecture)
01. Determinism over Probability
Runtime governance decisions must be computable and repeatable. If enforcement depends on probabilistic interpretation at decision time, you have policy drift—not a standard.
02. Authority/Execution Separation
The system that defines governance (Registry) must never be the system that executes actions (Gatekeeper). This eliminates silent overrides and creates audit-ready accountability boundaries.
03. Audit Evidence is Structural
Auditability is enforced by system design: append-only events, tamper-evidence (hash chaining or equivalent), and identity-attributed decisions. Trust is not asserted; it is proven.