Enterprise Memory Layer
Governed knowledge and episodic memory — controlled retrieval, provenance, and corpus health for enterprise AI.
Overview
The Enterprise Memory Layer stores and retrieves knowledge artifacts under governance gates. Episodic consolidation, federated provenance, and duplicate-name diagnostics ensure memory serves supervised runtime intelligence — not uncontrolled model drift.
Governance workflows
- Knowledge artifact storage with versioning and scope
- Governed retrieval bound to tenant and policy context
- Human-governed training and approval workflows
- Memory export with encryption and access controls
Runtime supervision
- Episodic consolidation under governance gates
- Federated memory provenance signals
- Drift detection and anomaly containment hooks
- Confidence scoring on retrieved context
Enterprise deployment
- Tenant-isolated memory namespaces
- Hybrid deployments with client-side sensitive payload boundaries
- Data residency awareness in onboarding configuration
- Enterprise DPA-aligned processing semantics
Auditability & evidence
- Retrieval lineage in TAP records
- Corpus health and embedding diagnostics
- Export paths for governance reviewers
- Explicit limits on autonomous memory mutation
Operational capabilities
- Governance-aware learning — not uncontrolled fine-tuning
- Supervised adaptation with human authority
- Provenance-bound knowledge artifacts
- Operational traceability for memory operations
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.
