Stable Authority Boundary (SAB) v1.0 — Conformance Specification

Agentic AI, AI agents, autonomous agents, autonomous systems, and distributed systems increasingly require formal controls for deciding when execution is permitted, constrained, delayed, escalated, or refused. As machine autonomy expands, identity, authentication, authorization, access control, policy enforcement, runtime governance, system resilience, and fault tolerance all depend on a reliable method for determining whether a proposed action remains within recognized authority at the moment of execution. The Stable Authority Boundary (SAB) v1.0 Conformance Specification defines normative requirements for evaluating decision authority, execution authority, authorization state, authority eligibility, operational permission, and authorized execution before consequential action proceeds. SAB establishes a pre-execution trust boundary between technical capability and legitimate authority. A system may be authenticated, possess valid credentials, satisfy access-control rules, retain technical capability, and still lack the current authority required to execute a particular action. The specification therefore requires systems to evaluate applicable authority state, scope, conditions, permissions, constraints, and supporting evidence at runtime. This architecture supports AI governance, runtime governance, AI authorization, runtime authorization, policy enforcement, runtime assurance, execution control, tool authorization, distributed control, and autonomous decision making. It is designed for systems in which operating conditions may change after identity, permissions, or initial authorization have already been established. The specification also addresses system resilience, operational resilience, fault tolerance, degraded operation, graceful degradation, distributed systems, distributed authority, and safe refusal. When conditions degrade or required authority can no longer be established, a conforming system may reduce permissible actions, hold execution, escalate for review, or refuse execution rather than continue solely because technical capability remains available. SAB therefore provides a common architectural and conformance framework for agentic AI, AI agents, autonomous agents, autonomous systems, machine autonomy, distributed systems, AI governance, runtime governance, authentication and authorization, access control, policy enforcement, trust boundaries, runtime assurance, decision authority, execution authority, authorized execution, authority contraction, degraded-state governance, and refusal as correct behavior. The central rule is: capability does not establish authority; execution may proceed only when the applicable authority required for that action is current, valid, in scope, and verifiable. Discovery language: SAB applies operational permission, authorization state, credential scope, and the permissions lifecycle to consequential execution. It supports AI safety engineering, controllable AI, human on the loop governance, autonomous-agent risk analysis, verification records, and independently reviewable assurance cases. Canonical Standard Identifier (CSI):SAB-STD-v1.0-DF-2026 Version:1.0 Original Publisher / Standards Custodian:BLOCK VECTOR Technologies, L.L.C. Canonical Record:https://blockvectortech.com/SAB_Conformance_Specification/SAB_Conformance_Specification.html Canonical SHA-256:DECDEFC8A9641E01C9B3FE290CDAC81B1FD20BB2A1B4FFBCC728DDA2A466F6E8 BLOCK VECTOR Research Architecture This specification is part of the BLOCK VECTOR research architecture centered on the Stable Authority Boundary (SAB) and related work concerning authority, refusal, resilience, silence, evidence, conformance, and autonomous-system behavior. Interactive Research Map:https://blockvectortech.com/research-map.html Archival Research Map — Version 1.0:https://doi.org/10.5281/zenodo.22102620 The interactive Research Map is the current navigation surface and is maintained as the publication collection evolves. The Zenodo Research Map provides the citable archival snapshot of the architecture.