JAZB Framework v2.0

JAZB (Judiciary AI Zero-Trust Broker) is an authority-centric, human-sovereign governance framework and enterprise architecture for artificial intelligence. It defines how legitimate organizational Authority originates, how Human-Established Law governs that Authority, how AI systems may exercise bounded delegation, and how consequential actions remain subject to independent oversight, enforcement, evidence, and accountability.

JAZB addresses a fundamental distinction in autonomous AI governance: technical capability does not constitute legitimate Authority.

The Framework establishes a separation between human sovereignty, Law establishment, judicial interpretation, delegated machine Authority, operational execution, independent enforcement, and assurance. Artificial intelligence may interpret and exercise Authority within established boundaries, but it may not become the source of its own Authority.

Framework Version 2.0

Version 2.0 is a major Authority architecture release, establishing an expanded model for independently governed, consequential AI autonomy.

Building upon the foundations developed in the JAZB v1.x series, Version 2.0 introduces parallel Internal Law domains, independently separated Task and Enforcer AGENTs, expanded Enterprise AI Customs jurisdiction, cryptographically protected Authority relationships, and independently verified consequential execution.

The principal architectural developments include:

• Parallel Internal Law: Commissioner Law governs legitimate work, Task delegation, and permitted operational activity. Commandant Law independently governs behavioral supervision, protected Point Policy, investigation, and lawful intervention. Both remain subordinate to Human-Established Governor Law.

• Independent Task and Enforcer AGENTs: Operational and supervisory functions maintain separate security principals, cryptographic identities, Authority boundaries, and protected execution environments. Supervisory Authority must be independently verifiable and cannot arise from role assertion alone.

• Bounded Autonomous Execution: The Enterprise Domain Authority (EDA) establishes permissible autonomy, decision Rights, human approval conditions, operational limits, and risk profiles. Task AGENTs may exercise discretion only within existing Authority and applicable Law.

• Cryptographic Authority Integrity: Standing Law, human approvals, supervisory relationships, and consequential execution authorizations are subject to integrity protection, authenticated provenance, validity controls, and independent verification.

• Emergency Protective Containment: Authorized Enforcers may initiate bounded protective intervention under standing Law. A compromised Task AGENT cannot defeat lawful containment merely by withholding, losing, or invalidating its own credentials.

• Expanded Enterprise AI Customs: Customs jurisdiction includes EDA-registered internal data-domain Ports as well as actual external Organizational Boundary crossings. Source-to-destination inspection, data classification continuity, and independently maintained transfer Point Policy govern legitimate passage.

• Verified Consequential Execution: Material changes may require staged proposals, exact transaction manifests, cryptographically bound approvals, independent receiving-side authorization, and verifiable execution outcomes.

• Human-Directed Governor Advisory: Authorized humans may use advisory analysis of the Framework, implementation evidence, active Law, and relevant external standards without transferring Law-making or risk-acceptance Authority to AI.

• Continuous Governance Assurance: Authority, enforcement coverage, protected evidence, operating conditions, and residual risk remain subject to ongoing validation, reassessment, correction, and revalidation.

Version 2.0 explicitly recognizes that an authorized objective does not justify unauthorized methods. Failure to complete a task does not create additional Authority, and stopping an operation may be the appropriate governed outcome.

Framework Architecture

JAZB maintains a four-level architectural hierarchy:

1. JAZB Framework

2. JAZB Enterprise Authority Architecture

3. JAZB Authority Governance Functions

4. Technical Realization

The architecture connects organizational purpose and stakeholder concerns to governance decisions, Human-Established Law, delegated Authority, governed actions, evidence, outcomes, and reassessment.

Its six canonical architecture views provide complementary perspectives on enterprise context, governance and decision Rights, Authority relationships, operational jurisdictions, evidence and assurance, and lifecycle change.

The Framework retains the Continuous Governance Assurance lifecycle:

Establish → Operate → Observe → Validate → Discover → Remediate → Revalidate

This lifecycle recognizes that governance is not permanently established by a successful deployment, previously valid authorization, or completed assessment. Material changes and newly discovered limitations may require reassessment.

Seven Core Framework Publications

JAZB Framework Version 2.0 consists of seven coordinated, standalone publications.

Publication 1, Phase I: Foundational Architecture

Establishes the human-sovereign doctrine, four-level Framework hierarchy, enterprise governance architecture, architectural viewpoints, decision Rights, institutional separation, jurisdictional relationships, accountability, and continuous assurance foundations.

Publication 2, Phase II: Authority & Judicial Specification

Defines the Internal Authority architecture, including Commissioner and Commandant Law, Rights, Duties, Liberty, delegated Authority, separate Task and Enforcer AGENTs, cryptographic supervisory relationships, behavioral Point Policy, Judge interpretation, Judicial Instruments, and independent Actuation.

It specifies bounded consequential autonomy, authorized method selection, independent intervention, cryptographic approval conditions, and emergency protective containment.

Publication 3, Phase III: Enterprise AI Customs Specification

Defines Border Jurisdiction, Port Director Law, Port Authority interpretation, Customs AGENT responsibilities, governed internal and external Ports, the Data Authority Map, contextual source-to-destination inspection, classification continuity, independent transfer Point Policy, and lawful passage enforcement.

Publication 4, Phase IV: Security & Resilience Specification

Addresses adversarial compromise, identity and Authority integrity, component impersonation, Governance Escape Resistance, protected evidence, independent enforcement, containment, revocation, degraded operation, trusted recovery, and continuing governance assurance.

Publication 5, Phase V: Enterprise Implementation & Adoption Guide

Provides a progressive enterprise adoption model for translating JAZB architecture into operational governance. It addresses organizational readiness, accountable ownership, AI inventories, Authority mapping, control integration, deployment profiles, human approval thresholds, technical realization, testing, and continuous improvement.

Publication 6, Phase VI: Standards & Compliance Mapping and Crosswalk Governance

Positions JAZB relative to established AI governance, cybersecurity, Zero Trust, risk, privacy, management-system, and assurance frameworks. It applies conservative, source-first mapping principles that distinguish alignment and implementation support from equivalence, certification, or demonstrated conformance.

Publication 7, Phase VII: Reference Specification

Provides the canonical normative requirements for JAZB Framework Version 2.0.

The specification contains 295 numbered requirements, JAZB-RS-001 through JAZB-RS-295, retaining the 262 prior identifiers while introducing 33 additional requirements addressing the expanded architecture.

Phase VII governs the normative meaning of Version 2.0 conformance claims, including applicable mandatory safeguards, independently supportable evidence, implementation Scope, exclusions, and assurance limitations.

Release Notes

The accompanying JAZB Framework Version 2.0 Release Notes document the major architectural developments from Version 1.4, the revised operating assumptions, normative requirement changes, publication scope, migration considerations, and validation limitations.

The Release Notes are informational and do not supersede the canonical normative requirements established in Phase VII.

Publication Series and Version Independence

JAZB Framework v2.0 establishes a distinct major-version publication series with an independent Zenodo DOI lineage.

It builds upon prior JAZB research and architectural development but is published separately from the JAZB v1.x record series.

Previously published v1.x releases remain historically intact, independently citable, and applicable to their respective version-specific evaluations. The v1.x publication series may continue to develop independently.

Future v2.x publications will follow the separate Version 2 series. Publication of v2.0 does not modify historical records, retroactively change previously published requirements, or invalidate version-specific findings by implication.

Scope and Limitations

JAZB is an enterprise Authority governance framework and architecture, not a standalone cybersecurity product, AI model, security control plane, or guarantee of safe autonomous behavior.

It is designed to complement established identity, cybersecurity, privacy, compliance, risk-management, data-governance, enterprise-architecture, and AI-governance disciplines.

Publication of the Framework does not constitute independent certification, demonstrated operational conformance, legal compliance, or proof that all described safeguards have been successfully implemented in a production environment.

Virtual Threat Tests and other evaluations must remain explicitly bounded by their tested scenarios, assumptions, applicable Framework versions, implementation conditions, and available evidence.

JAZB does not claim to eliminate risk. It establishes a framework for preserving legitimate Authority, identifying governance failures, constraining unauthorized action, and continuously strengthening the evidence supporting enterprise AI governance.

Foundational Principles

Capability does not constitute Authority.

Authority must originate from legitimate human governance.

Artificial intelligence may exercise Authority. It must never become the source of its own Authority.

Failure does not expand Authority.

A valid identity does not independently establish a valid Authority relationship.

Governance must be demonstrated, not merely asserted.

Publication Information

Author and Publisher: Michael Costner

Framework Website: https://jazbframework.org

Version: 2.0

Publication Date: October 2026

Publication Series: JAZB Framework Version 2.x

License: JAZB Framework Public Access Terms

DOI: 10.5281/zenodo.23518625