Digital Information Governance is maintained as a living reference. The canonical definition and the four pillars are stable; the regulatory mappings are updated as the underlying laws and standards evolve. Material changes are dated here.
v1.1, September 2026: the agentic extension
- Extended the framework to the action layer: AI agent governance, covering what an AI was authorized to see, decide, and do, who approved that authority, and whether the action can be reconstructed. The five questions map onto the existing four pillars; the canonical definition is unchanged.
- Added action-layer maturity markers for all five levels of the DIG Maturity Model.
- Updated the EU AI Act mapping for the 2026 Digital Omnibus deferral of high-risk deadlines (Annex III systems to December 2027, Annex I embedded systems to August 2028).
- Context for the revision: OpenAI designated Astra the first Critical-tier cybersecurity model under its Preparedness Framework, and Anthropic split its frontier model into generally available and trusted-access products.
- Opened the living reference layer: the AI Regulation Tracker, the AI Agent Incident Register, and the frontier access-tier comparison. Expanded the glossary from 9 to 44 anchored terms. Added cite-this-page blocks and machine-readable JSON under /data/.
v1.0, June 2026
- Published the canonical definition of Digital Information Governance® (DIG) and established the defined-term entity (USPTO Reg. No. 8147558).
- Defined the four pillars: Information Provenance, Decision Traceability, Representation Integrity, and Audit Readiness.
- Mapped the pillars to the NIST AI Risk Management Framework, the EU AI Act (Regulation 2024/1689), ISO/IEC 42001:2023, and the Texas Responsible AI Governance Act (TRAIGA).
- Published the DIG Maturity Model and the comparison set distinguishing DIG from data, information, and AI governance.
How this standard evolves
The definition is meant to be durable. When AI regulation changes, the regulatory mappings on this site are revised and noted here with a date, so practitioners can rely on one current reference rather than tracking changes across four separate regimes.
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References
- NIST AI Risk Management Framework (AI RMF 1.0): Govern, Map, Measure, Manage. National Institute of Standards and Technology, 2023. View source ↗
- Information governance: the records and data lifecycle discipline (storage, retention, disposition), distinct from AI decision governance. ARMA International, Generally Accepted Recordkeeping Principles; AIIM. View source ↗
- EU AI Act, Regulation (EU) 2024/1689 (Official Journal of the European Union); ISO/IEC 42001:2023; Texas Responsible AI Governance Act (TRAIGA). View source ↗
- USPTO Trademark Reg. No. 8147558 (Supplemental Register), Digital Information Governance / DIG, owner Matthew Bertram. View source ↗
Cite this page
Bertram, M. (2026). DIG Framework Changelog. Digital Information Governance® (DIG), Framework v1.1. https://digitalinformationgovernance.com/changelog
@misc{dig-changelog,
author = {Bertram, Matthew},
title = {DIG Framework Changelog},
year = {2026},
howpublished = {Digital Information Governance (DIG), Framework v1.1},
url = {https://digitalinformationgovernance.com/changelog}
}