Advisory capability
Models and other intelligent components may generate observations, interpretations, recommendations and candidate actions.
TauGuard treats governance as an architectural authority layer. Intelligence may propose. Deterministic governance evaluates admissibility. Execution occurs only when the governing conditions are satisfied.
The governance architecture separates capability from authority. Probabilistic systems can retrieve, reason, predict and recommend; they do not acquire constitutional authority merely by becoming more capable.
Models and other intelligent components may generate observations, interpretations, recommendations and candidate actions.
Executable rules evaluate evidence, context, authority, purpose and admissibility using reproducible logic.
Consequence-bearing action sits behind the governance boundary. If admissibility cannot be demonstrated, execution does not occur.
Every execution request passes through a deterministic verification path. The architecture is designed so that governance is active at the execution boundary rather than reconstructed afterwards.
System purpose is a machine-enforced constraint, not merely a statement of intent.
Rules operate at runtime. Governance is not reduced to documentation or post-hoc audit.
Final authority remains in the deterministic governance layer, not in probabilistic intelligence.
Where admissibility cannot be established, refusal is terminal rather than an invitation to retry around the constraint.
Governed semantics and rules resolve against a canonical knowledge substrate rather than uncontrolled shadow interpretations.
The architecture remains governable when intelligent components fail, degrade or become unavailable.
The core architectural separation of intelligence, authority, purpose, invariants and deterministic governance.
Meaning is authorized through deterministic semantics, context, intent, canonical knowledge and constitutional authority.
Degradation becomes a governed state with deterministic crisis behavior, constitutional preservation and recovery verification.
Learning is treated as a governed state transition requiring authorization, admissibility, provenance and auditability.
Security is structural: allowed states, centralized authority, explicit failure semantics and no implicit trust.
Assessment state is represented through governed nodes and typed dependencies so change, delta, impact, invalidation and re-evaluation remain distinct.
Executable governance makes admissibility a property of computation. The governing rules, evidence and state can be replayed to verify why a transition was admitted or refused.
Governance Under Degradation extends the constitutional model into integrity loss, authority ambiguity, evidence corruption or delay, infrastructure compromise, semantic incoherence, rule conflict and service unavailability.
Governance assumptions are established and execution may proceed subject to admissibility.
Loss of integrity is represented explicitly rather than hidden inside undefined runtime behavior.
Constitutional preservation and recovery to a known integral state take precedence over continuation.
Coherence is not the authority to act. Admissibility is.
Request Architecture Review →