The Brain — Cognitive Layer for Dominion OS
The Brain is a governance-first decision layer that turns policy, telemetry, and intent into accountable decisions: intent → plan → prove. Built as a hybrid neuro-symbolic fabric, it couples a transformer-based policy network for intent→plan synthesis with a graph neural network that reasons over state, provenance, and evidence to produce contextual, verifiable plans.
Core Capabilities
Policy-as-Code
Express guardrails as executable policies — validated pre-flight and enforced post-decision.
Provenance & Sealing
Every decision, artifact, and model invocation is signed and bundleable for audits and incident review.
Neural Fabric & Adapters
Provider-agnostic adapters make models, storage, and compute replaceable — no vendor handcuffs. The Brain’s neural fabric couples a transformer policy network with a GNN for provenance-aware planning.
Least-Privilege Enforcement
Actions run under scoped lanes with ephemeral elevation and observable break-glass events.
Observability & Health
Health signals and risk telemetry feed automated gates and human review flows.
Rehearsal & Disaster Tests
Scheduled fault-injection with sealed state snapshots so you can prove recovery plans.
Reference Patterns
Lane-Based Execution
- Public, Restricted, Sealed lanes with per-lane KMS & secrets.
- No cross-lane implicit trust.
- Audit packs per turn: actions → narrative → signed artifacts.
Canary, Gate, Rollback
- Automatic canary progression with policy gates.
- Immutable release notes with diffs and rationale.
- Auto-rollback on policy breach or health regressions.
Security & Compliance
Crypto-First Auth
Bring-your-own KMS, signed bundles, and key rotation practices built into pipelines.
Exportable Evidence Packs
Auditors get reproducible bundles: anchors, logs, signatures, and rationales.
Use Cases
Policy-Driven ChatOps
Agentic workflows that act under policy, with human escalation and sealed evidence.
Compliance Automation
Automatic compliance checks and exportable audit trails for regulated environments.
Model Lifecycle Governance
Controlled experiments, reproducible retraining, and lineage-linked deployments.
Frequently Asked
Do we have to replace our models?
No. Adapters make providers interchangeable. Choice is a policy setting, not a technical lockdown.
How do you prove actions after the fact?
Sealed evidence packs contain signed logs, inputs, outputs, and policy decisions — exported for auditors.
Is this usable in highly regulated contexts?
Yes — built for regulated ops with exportable provenance and per-lane separation.
Want the Brain as the cognitive layer for your sovereign systems?
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