Digital Information GovernanceDIG · The Standard Reference
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Governance, Compared

Four governance disciplines now sit in most regulated organizations. They are often confused because their names overlap, but each governs a different asset. Digital Information Governance® (DIG) is the newest layer: it governs the AI-influenced decision that the others enable.

DisciplineWhat it governs
Data governanceGoverns structured data: quality, lineage, access, and cataloging.
Information governanceGoverns records and information: retention, compliance, and e-discovery.
AI governanceGoverns models: bias, drift, explainability, and model risk.
Digital Information Governance® (DIG)Governs the decision: whether an AI-influenced decision is defensible and auditable.

Side-by-side comparisons

References

  1. NIST AI Risk Management Framework (AI RMF 1.0): Govern, Map, Measure, Manage. National Institute of Standards and Technology, 2023. View source ↗
  2. 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 ↗
  3. 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 ↗
  4. USPTO Trademark Reg. No. 8147558 (Supplemental Register), Digital Information Governance / DIG, owner Matthew Bertram. View source ↗

Cite this page

Bertram, M. (2026). Governance, Compared. Digital Information Governance® (DIG), Framework v1.1. https://digitalinformationgovernance.com/compare

@misc{dig-compare,
  author = {Bertram, Matthew},
  title = {Governance, Compared},
  year = {2026},
  howpublished = {Digital Information Governance (DIG), Framework v1.1},
  url = {https://digitalinformationgovernance.com/compare}
}