Governance Engine

Overview

The Governance Engine evaluates policies, authority roles, and compliance catalog signals at runtime. Outputs are deterministic, tenant-scoped, and explainable — designed for enterprise architects and compliance reviewers who require inspectable logic, not black-box scoring.

Governance workflows

• Programmable policy engine with meta-policy layering
• Authority role evaluation and pending assignment workflows
• Compliance catalog cross-reference with evidence requirements
• Management mode console for tenant-scoped policy administration

Runtime supervision

• Real-time policy evaluation at decision intake
• Denial and escalation explainability via causality graph
• Governance-of-governance runtime views for operators
• Shadow mode and skill amplification under human authority

Enterprise deployment

• Enterprise policy upload with priority binding
• Sector and country mapping during onboarding
• Connector-aware governance for Splunk, ServiceNow, Okta, and cloud SIEM
• Air-gapped evaluation patterns for regulated sectors

Auditability & evidence

• Policy evaluation traces attached to TAP records
• Evidence pack generation for framework alignment reviews
• Export paths suitable for regulator and auditor workflows
• Explicit confidence labels on catalog-backed signals

Policy lifecycle

• Draft → review → bind → enforce → monitor → retire
• Policy applications scoped per tenant and workload
• Effective-date governance and rollback-safe migrations
• Readiness signals tied to evidence completeness

Operational capabilities

• Deterministic catalog-backed compliance awareness
• Tenant-scoped policy management with management_mode
• No autonomous legal interpretation in product behavior
• Honest disclaimers on alignment vs certification

Operational boundaries

NerveMind CGOS provides operational governance infrastructure — awareness, traceability, and human authority — not autonomous legal interpretation or certification claims unless explicitly stated in a signed agreement.