Universal Control Taxonomy (UCT) Registry Reference

SWT3 AI Witness Procedures -- Machine-Readable Compliance Evidence for AI Systems

Document Version

1.7.0

Publication Date

May 29, 2026

Publisher

Tenable Nova LLC

License

Apache 2.0

Protocol

SWT3 Witness Anchor

Status

Proposed Standard

AI Procedures

Namespaces

Frameworks Referenced

SDK Languages

191

Total UCT Procedures

1. Scope

This document defines the Universal Control Taxonomy (UCT) for AI Witness procedures within the SWT3 protocol. Each procedure specifies a discrete, witnessable compliance event with machine-readable factor semantics, deterministic evaluation rules, and cross-references to applicable regulatory frameworks.

The UCT Registry serves as the canonical reference for:

AI system developers integrating SWT3 witness SDKs
Notified Bodies and C3PAOs evaluating AI compliance evidence
Regulators mapping existing requirements to runtime witness events
Auditors verifying that SWT3 anchors carry the correct factor semantics

Normative Reference: This registry is machine-readable. The canonical JSON schema is published at uct-registry.json (Apache 2.0) and can be consumed programmatically by GRC tools, CI/CD pipelines, and audit platforms.

2. Fingerprint Formula

Every SWT3 Witness Anchor is minted using the following locked formula:

SHA256("WITNESS:" + tenant_id + ":" + procedure_id + ":" + factor_a + ":" + factor_b + ":" + factor_c + ":" + timestamp_ms).hex()[0:12]

This formula is protocol-locked and implemented with cross-language parity across Python, TypeScript, Rust, C#, and Ruby SDKs. Test vectors ensure deterministic output across all implementations.

3. Clearing Levels

SWT3 defines four clearing levels that control the information density of witness payloads:

Level	Name	Behavior
0	Analytics	Full context, model ID, prompt/response hashes
1	Standard	Context preserved, suitable for most deployments
2	Sensitive	Context stripped, factors and fingerprint preserved
3	Classified	Factors and fingerprint only, no contextual metadata

CJT fields (jurisdiction, legal_basis, purpose_class) survive all clearing levels. Context fields (ai_context) are stripped at Level 2+.

4. Regulatory Framework References

The UCT Registry cross-references procedures to the following regulatory frameworks and standards:

Identifier	Full Name	Jurisdiction
EU-AI-ACT	EU Artificial Intelligence Act (Regulation 2024/1689)	European Union
GDPR	General Data Protection Regulation (2016/679)	European Union
GPAI-CoP	GPAI Code of Practice (July 2025)	European Union
NIST-AI-RMF	NIST AI Risk Management Framework (AI 100-1)	United States
NIST-AI-100-2	NIST AI 100-2 Adversarial ML Taxonomy	United States
NIST-800-53	NIST SP 800-53 Rev 5 Security Controls	United States
EO-14110	Executive Order on Safe AI (Oct 2023)	United States
EO-14028	Executive Order on Cybersecurity (May 2021)	United States
G7-CISA	G7/CISA SBOM for AI Minimum Elements (May 2026)	International

5. AI Witness Procedure Registry

Procedures are grouped by namespace. Each procedure defines three factors (A, B, C) with semantic labels, regulatory references, and a deterministic evaluation expression.

AI-ACC Access Control Witnessing

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-ACC.1	Agent Access Control Witnessing	A: resource_hash B: scope_hash C: outcome	factor_a != '' and factor_b != ''	Art.9(4)(c) MANAGE 2.4

AI-BASE Agent Behavioral Baseline

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-BASE.1	Agent Behavioral Baseline	A: dimensions_measured B: within_envelope C: mode_code	factor_b == 1 or factor_c == 0 or factor_c == 3	Art.9(2)(b) MEASURE 2.6

AI-CHAIN Multi-Agent Chain of Custody

2 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-CHAIN.1	Multi-Agent Chain Handoff	A: chain_depth B: cycle_bound C: accepted	factor_c == 1	Art.9 GOVERN 1.3
AI-CHAIN.2	Chain Trust Degradation	A: previous_trust B: new_trust C: degradation_delta	factor_c >= 0	Art.9 GOVERN 1.3

AI-CHR Agent Charter

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-CHR.1	Agent Charter Registration	A: capabilities_declared B: constraints_declared C: charter_hash_present	factor_a > 0	Art.13 GOVERN 1.7

AI-CONSENT Data Subject Consent

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-CONSENT.1	Data Subject Consent	A: subjects_covered B: legal_basis_code C: withdrawal_available	factor_a > 0	Art.6/7 Art.10

AI-DATA Training Data Governance

4 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-DATA.1	Training Data Provenance	A: provenance_required B: provenance_documented C: reserved	factor_b >= factor_a	Art.10(2)(a) MAP 3.5
AI-DATA.2	Training Data License Compliance	A: license_check_required B: license_verified C: reserved	factor_b >= factor_a	Art.10(2)(a) GOVERN 1.7
AI-DATA.3	Training Data Statistics	A: row_count B: feature_count C: class_balance_ratio	factor_a > 0 && factor_b > 0	Art.10(3) MAP 4.1
AI-DATA.4	Training Data PII Lifecycle	A: records_affected B: event_completed C: event_type_code	factor_b >= 1	Art.10(5) Art.25

AI-ENV Runtime Environment

2 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-ENV.1	Runtime Environment Attestation	A: env_hash_present B: container_isolated C: runtime_type_code	factor_a == 1	Art.11 GOVERN 1.2
AI-ENV.2	Dependency Manifest Attestation	A: dependencies_count B: all_pinned C: vulnerabilities_known	factor_b == 1	Art.11 Sec.4

AI-EXPL Explainability and Confidence

2 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-EXPL.1	Explanation Generation	A: explanation_required B: explanation_provided C: reserved	factor_b >= factor_a	Art.13(1) MEASURE 2.5
AI-EXPL.2	Confidence Scoring	A: min_confidence_threshold B: model_confidence C: reserved	factor_b >= factor_a	Art.13(3)(b)(ii) MAP 2.3

AI-FAIR Fairness and Bias

3 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-FAIR.1	Bias Disparity Measurement	A: max_disparity_ratio B: observed_disparity C: protected_class_count	factor_b <= factor_a	Art.10(2)(f) MEASURE 2.5
AI-FAIR.2	Fairness Calibration	A: min_fairness_score B: actual_fairness_score C: reserved	factor_b >= factor_a	Art.9(4)(a) MAP 2.3
AI-FAIR.3	Bias Audit Witnessing	A: groups_tested B: disparities_found C: max_disparity_pct	factor_a > 0	Art.10(2)(f) MAP 2.3

AI-GOV AI Governance (Attestation)

7 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-GOV.1	AI Acceptable Use Policy	A: attestation_required B: attested C: reserved	factor_b >= factor_a	Art.9 GOVERN 1.1 PL-4
AI-GOV.2	Employee AI Training	A: attestation_required B: attested C: reserved	factor_b >= factor_a	Art.4 GOVERN 2.1 AT-2
AI-GOV.3	Approved Model Registry	A: attestation_required B: attested C: reserved	factor_b >= factor_a	Art.49 MAP 1.1 CM-8
AI-GOV.4	Shadow AI Incident Response	A: attestation_required B: attested C: reserved	factor_b >= factor_a	Art.26 GOVERN 1.5 IR-4
AI-GOV.5	Third-Party AI Vendor Assessment	A: attestation_required B: attested C: reserved	factor_b >= factor_a	Art.25 GOVERN 6.1 SA-4
AI-GOV.6	AI Risk Management Scope Definition	A: attestation_required B: attested C: reserved	factor_b >= factor_a	Art.17 GOVERN 1.3 PM-9
AI-GOV.7	AI Governance Resource Allocation	A: attestation_required B: attested C: reserved	factor_b >= factor_a	GOVERN 2.2 PM-3

AI-GRD Guardrail Enforcement

3 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-GRD.1	Guardrail Enforcement — Required Safety Filters Active	A: guardrails_required B: guardrails_active C: reserved	factor_b >= factor_a	Art.9(2)(a)
AI-GRD.2	Content Safety Filter — Output Classification Passed	A: content_safety_required B: content_safety_passed C: reserved	factor_b >= factor_a	Art.15(3)
AI-GRD.3	PII Redaction	A: redaction_required B: redaction_active C: reserved	factor_b >= factor_a	Art.10(2)(f) GOVERN 1.7

AI-HITL Human-in-the-Loop

3 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-HITL.1	Human Review Completion	A: review_required B: review_completed C: reserved	factor_b >= factor_a	Art.14(1) GOVERN 1.1
AI-HITL.2	Human Override Event Tracking	A: override_logging_required B: override_logged C: reserved	factor_b >= factor_a	Art.14(4)(d) MANAGE 4.1
AI-HITL.3	Overseer Identity Capture - Reviewer Identified Per Decision	A: identity_capture_required B: identity_captured C: reserved	factor_b >= factor_a	Art.12(2)(d)

AI-HW Hardware Attestation

2 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-HW.1	Hardware Runtime Attestation	A: gpu_count B: memory_gb C: accelerator_type_code	factor_a > 0	Art.11 GOVERN 1.2
AI-HW.3	TPM Platform Attestation	A: pcr_count B: quote_verified C: tpm_version_code	factor_b == 1	GOVERN 1.2

AI-ID Agent Identity

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-ID.1	Agent Identity Assertion	A: agent_id_hash B: signature_present C: reserved	factor_a != '' and factor_b == 1	Art.12(1) MAP 1.1

AI-IMPACT Impact Assessment

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-IMPACT.1	AI Societal Impact Assessment	A: attestation_required B: attested C: reserved	factor_b >= factor_a	MAP 5.2 RA-3

AI-INF Inference Provenance

3 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-INF.1	Inference Provenance — Prompt/Response Hash Capture	A: provenance_required B: provenance_captured C: reserved	factor_b >= factor_a	Art.12(1)
AI-INF.2	Inference Latency — Response Time Within Threshold	A: latency_threshold_ms B: measured_latency_ms C: reserved	factor_b <= factor_a	Art.12(2)
AI-INF.3	Inference Volume - Hourly Rate Governance	A: max_inferences_hour B: actual_inferences C: reserved	factor_b <= factor_a	Art.12(1) GOVERN 2.1

AI-IR Incident Response

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-IR.1	AI Incident Response Capability	A: attestation_required B: attested C: reserved	factor_b >= factor_a	MANAGE 3.1 IR-8

AI-LIC License Provenance

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-LIC.1	License Provenance	A: components_checked B: all_compliant C: license_type_code	factor_b == 1	Art.53(1)(d) GOVERN 1.7

AI-LOG Logging and Audit

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-LOG.1	Log Retention Compliance - Minimum 180-Day Retention Verified	A: min_retention_days B: actual_retention_days C: reserved	factor_b >= factor_a	Art.12(3)

AI-MARK Content Provenance Marking

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-MARK.1	Content Provenance Marking	A: content_count B: metadata_attached C: content_type_code	factor_a > 0	Art.50(2) Transparency

AI-MDL Model Integrity

7 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-MDL.1	Model Weight Integrity — Deployed Hash Matches Approved	A: model_integrity_required B: model_identity_verified C: reserved	factor_b >= factor_a	Art.9(4)(a)
AI-MDL.2	Model Version Tracking — Version Identifier Recorded	A: version_tracking_required B: version_recorded C: reserved	factor_b >= factor_a	Art.12(2)(b)
AI-MDL.3	Model Drift Detection	A: drift_threshold B: drift_score C: reserved	factor_b <= factor_a	Art.72(1) MEASURE 2.6
AI-MDL.4	Feedback Loop Control - Training Data Isolation From Biased Outputs	A: feedback_isolation_required B: feedback_isolation_active C: reserved	factor_b >= factor_a	Art.15(4)
AI-MDL.5	Weight File Integrity	A: file_size_mb B: hash_match C: format_code	factor_b == 1	Art.11 GOVERN 1.2
AI-MDL.6	Adapter Stack Attestation	A: adapter_count B: all_verified C: adapter_type_code	factor_b == 1	Art.11 GOVERN 1.2
AI-MDL.7	Quantization Attestation	A: original_bits B: quantized_bits C: method_code	factor_b > 0	MEASURE 2.6

AI-MULTI Multi-Agent Delegation

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-MULTI.1	Multi-Agent Delegation	A: delegation_depth B: permissions_granted C: time_bound_minutes	factor_a >= 0	Art.9 GOVERN 1.3

AI-RAG Retrieval-Augmented Generation

2 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-RAG.1	Context Retrieval Provenance	A: chunks_retrieved B: corpus_hash_present C: avg_similarity	factor_a > 0	Art.13 MAP 2.3
AI-RAG.2	Context Relevance Scoring	A: chunks_above_threshold B: total_chunks C: threshold_pct	factor_a > 0	Art.13 MEASURE 2.5

AI-REDTEAM Adversarial Testing

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-REDTEAM.1	Adversarial Test Campaign	A: tests_executed B: tests_passed C: coverage_category_code	factor_a > 0 and factor_b / factor_a >= 0.8	Art.9(7) Sec.4.2 Red Teaming

AI-REV Anchor Revocation

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-REV.1	Anchor Revocation	A: revoked_fingerprint_hash B: reason_code C: reserved	factor_a != '' and factor_b >= 0 and factor_b <= 6	Art.14(4)(d) Art.17

AI-RISK Risk Assessment

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-RISK.1	AI Risk Identification and Categorization	A: attestation_required B: attested C: reserved	factor_b >= factor_a	Art.9 MAP 2.1 RA-2

AI-SAFE Safe State Management

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-SAFE.1	Safe State Transition	A: trigger_code B: actions_suspended C: recovery_available	factor_b >= 0	Art.9(4)(b)

AI-SBOM AI Bill of Materials

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-SBOM.1	AI Bill of Materials	A: total_components B: clusters_documented C: format_code	factor_a > 0 and factor_b >= 3	Art.11 SBOM-AI Sec.4

AI-SEC Security Controls

2 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-SEC.1	Adversarial Threat Detection	A: threats_checked B: threats_detected C: blocked	factor_a > 0 and factor_b == 0	Art.15(4) MANAGE 2.3
AI-SEC.2	Input Validation and Sanitization	A: validators_required B: validators_passed C: input_rejected	factor_b >= factor_a	Art.15(3) MANAGE 2.3

AI-SKILL Procedural Knowledge

3 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-SKILL.1	Skill Manifest Attestation	A: skills_declared B: manifest_hash_present C: skills_validated	factor_a > 0	Art.9 GOVERN 1.7
AI-SKILL.2	Memory Context Binding	A: memory_entries B: context_hash_present C: memory_source_code	factor_a >= 0	MEASURE 2.5
AI-SKILL.3	Reward Model Binding	A: reward_score B: threshold_met C: reward_model_hash	factor_b == 1	MEASURE 2.6

AI-TOOL Tool Call Witnessing

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-TOOL.1	Tool Call Witnessing	A: tool_name_hash B: args_hash C: outcome	factor_a != '' and factor_b != ''	Art.12(1) GOVERN 1.7

AI-TRUST Trust Mesh

2 procedures

Procedure	Title	Factors	Evaluation	Frameworks
AI-TRUST.1	Trust Verification	A: trust_level B: checks_passed C: checks_total	factor_a > 0	Art.9 GOVERN 1.5
AI-TRUST.2	Trust Credential Presentation	A: trust_level B: signed C: procedures_witnessed	factor_a > 0	Art.9 GOVERN 1.5

AI-VIO Violation Recording

1 procedure

Procedure	Title	Factors	Evaluation	Frameworks
AI-VIO.1	Policy Violation Record	A: violation_type_code B: severity C: auto_remediated	factor_a >= 0	Art.9 MANAGE 4.1

6. Framework Coverage Matrix

Which procedures provide evidence for which regulatory frameworks.

Procedure	NIST AI RMF	EO 14028	EO 14110	EU AI Act	G7/CISA	GDPR	GPAI CoP	NIST 800-53	NIST AI 100-2	NIST AI RMF
AI-ACC.1	--	--	--	Art.9(4)(c)	--	--	--	--	--	MANAGE 2.4
AI-BASE.1	--	--	--	Art.9(2)(b)	--	--	--	--	--	MEASURE 2.6
AI-CHAIN.1	--	--	--	Art.9	--	--	--	--	--	GOVERN 1.3
AI-CHAIN.2	--	--	--	Art.9	--	--	--	--	--	GOVERN 1.3
AI-CHR.1	--	--	--	Art.13	--	--	--	--	--	GOVERN 1.7
AI-CONSENT.1	--	--	--	Art.10	--	Art.6/7	--	--	--	--
AI-DATA.1	MAP 3.5	--	--	Art.10(2)(a)	--	--	--	--	--	--
AI-DATA.2	GOVERN 1.7	--	--	Art.10(2)(a)	--	--	--	--	--	--
AI-DATA.3	MAP 4.1	--	--	Art.10(3)	--	--	--	--	--	--
AI-DATA.4	--	--	--	Art.10(5)	--	Art.25	--	--	--	--
AI-ENV.1	--	--	--	Art.11	--	--	--	--	--	GOVERN 1.2
AI-ENV.2	--	Sec.4	--	Art.11	--	--	--	--	--	--
AI-EXPL.1	MEASURE 2.5	--	--	Art.13(1)	--	--	--	--	--	--
AI-EXPL.2	MAP 2.3	--	--	Art.13(3)(b)(ii)	--	--	--	--	--	--
AI-FAIR.1	MEASURE 2.5	--	--	Art.10(2)(f)	--	--	--	--	--	--
AI-FAIR.2	MAP 2.3	--	--	Art.9(4)(a)	--	--	--	--	--	--
AI-FAIR.3	--	--	--	Art.10(2)(f)	--	--	--	--	--	MAP 2.3
AI-GOV.1	GOVERN 1.1	--	--	Art.9	--	--	--	PL-4	--	--
AI-GOV.2	GOVERN 2.1	--	--	Art.4	--	--	--	AT-2	--	--
AI-GOV.3	MAP 1.1	--	--	Art.49	--	--	--	CM-8	--	--
AI-GOV.4	GOVERN 1.5	--	--	Art.26	--	--	--	IR-4	--	--
AI-GOV.5	GOVERN 6.1	--	--	Art.25	--	--	--	SA-4	--	--
AI-GOV.6	GOVERN 1.3	--	--	Art.17	--	--	--	PM-9	--	--
AI-GOV.7	GOVERN 2.2	--	--	--	--	--	--	PM-3	--	--
AI-GRD.1	--	--	--	Art.9(2)(a)	--	--	--	--	--	--
AI-GRD.2	--	--	--	Art.15(3)	--	--	--	--	--	--
AI-GRD.3	GOVERN 1.7	--	--	Art.10(2)(f)	--	--	--	--	--	--
AI-HITL.1	GOVERN 1.1	--	--	Art.14(1)	--	--	--	--	--	--
AI-HITL.2	MANAGE 4.1	--	--	Art.14(4)(d)	--	--	--	--	--	--
AI-HITL.3	--	--	--	Art.12(2)(d)	--	--	--	--	--	--
AI-HW.1	--	--	--	Art.11	--	--	--	--	--	GOVERN 1.2
AI-HW.3	--	--	--	--	--	--	--	--	--	GOVERN 1.2
AI-ID.1	--	--	--	Art.12(1)	--	--	--	--	--	MAP 1.1
AI-IMPACT.1	MAP 5.2	--	--	--	--	--	--	RA-3	--	--
AI-INF.1	--	--	--	Art.12(1)	--	--	--	--	--	--
AI-INF.2	--	--	--	Art.12(2)	--	--	--	--	--	--
AI-INF.3	GOVERN 2.1	--	--	Art.12(1)	--	--	--	--	--	--
AI-IR.1	MANAGE 3.1	--	--	--	--	--	--	IR-8	--	--
AI-LIC.1	--	--	--	Art.53(1)(d)	--	--	--	--	--	GOVERN 1.7
AI-LOG.1	--	--	--	Art.12(3)	--	--	--	--	--	--
AI-MARK.1	--	--	--	Art.50(2)	--	--	Transparency	--	--	--
AI-MDL.1	--	--	--	Art.9(4)(a)	--	--	--	--	--	--
AI-MDL.2	--	--	--	Art.12(2)(b)	--	--	--	--	--	--
AI-MDL.3	MEASURE 2.6	--	--	Art.72(1)	--	--	--	--	--	--
AI-MDL.4	--	--	--	Art.15(4)	--	--	--	--	--	--
AI-MDL.5	--	--	--	Art.11	--	--	--	--	--	GOVERN 1.2
AI-MDL.6	--	--	--	Art.11	--	--	--	--	--	GOVERN 1.2
AI-MDL.7	--	--	--	--	--	--	--	--	--	MEASURE 2.6
AI-MULTI.1	--	--	--	Art.9	--	--	--	--	--	GOVERN 1.3
AI-RAG.1	--	--	--	Art.13	--	--	--	--	--	MAP 2.3
AI-RAG.2	--	--	--	Art.13	--	--	--	--	--	MEASURE 2.5
AI-REDTEAM.1	--	--	Sec.4.2	Art.9(7)	--	--	--	--	Red Teaming	--
AI-REV.1	--	--	--	Art.14(4)(d)	--	Art.17	--	--	--	--
AI-RISK.1	MAP 2.1	--	--	Art.9	--	--	--	RA-2	--	--
AI-SAFE.1	--	--	--	Art.9(4)(b)	--	--	--	--	--	--
AI-SBOM.1	--	Sec.4	--	Art.11	SBOM-AI	--	--	--	--	--
AI-SEC.1	--	--	--	Art.15(4)	--	--	--	--	--	MANAGE 2.3
AI-SEC.2	--	--	--	Art.15(3)	--	--	--	--	--	MANAGE 2.3
AI-SKILL.1	--	--	--	Art.9	--	--	--	--	--	GOVERN 1.7
AI-SKILL.2	--	--	--	--	--	--	--	--	--	MEASURE 2.5
AI-SKILL.3	--	--	--	--	--	--	--	--	--	MEASURE 2.6
AI-TOOL.1	--	--	--	Art.12(1)	--	--	--	--	--	GOVERN 1.7
AI-TRUST.1	--	--	--	Art.9	--	--	--	--	--	GOVERN 1.5
AI-TRUST.2	--	--	--	Art.9	--	--	--	--	--	GOVERN 1.5
AI-VIO.1	--	--	--	Art.9	--	--	--	--	--	MANAGE 4.1

7. Version History

Version	Date	Changes
1.0.0	2026-02-26	Initial UCT Registry with infrastructure controls and 6 AI procedures
1.1.0	2026-03-15	AI governance attestation controls (AI-GOV.1-7). 20 AI procedures.
1.2.0	2026-03-29	AI Witnessing Profile. Protocol Lock Phase 2. 36 AI procedures.
1.3.0	2026-04-17	Framework crosswalk expansion. 38 AI procedures.
1.4.0	2026-05-03	AI-DATA.3/4, model integrity extensions. 42 procedures.
1.5.0	2026-05-23	AI-FAIR.3, AI-CHAIN.2, AI-ENV.1/2, AI-MARK.1, AI-BASE.1. 47 procedures.
1.6.0	2026-05-28	AI-LIC.1 (License Provenance). 48 AI SDK procedures.
1.7.0	2026-05-29	AI-SBOM.1, AI-REDTEAM.1, AI-CONSENT.1, AI-MULTI.1. Full registry synchronization: 27 procedures added from SDK. 65 AI procedures, 33 namespaces, 10 regulatory frameworks.

Publisher: Tenable Nova LLC | Protocol: SWT3 Witness Anchor | License: Apache 2.0

The UCT Registry is open source. The canonical machine-readable schema is available at uct-registry.json in the SWT3 protocol repository.

SWT3, UCT, Witness Anchor, and Sovereign Witness Token are trademarks of Tenable Nova LLC.

Contact: engineering@tenovaai.com