prEN 18229-1 AI trustworthiness framework, Part 1: logging (draft)

Draft harmonised standard for the record-keeping of Art. 12

By Jorge García Aibar Reviewed 2026-09-24

From clause to evidence Build the artefact, then file every output it produces as a record that names AIGE-OBL-CEN-PREN18229-1. Drawn from chapter 08.

Text alternative

Clause: prEN 18229-1, prEN 18229-1.
Duty holder: Not stated.
Applies from: No date, Draft or proposed.
Artefact: Logging specification per system.
Layer: Layer 04 Runtime Controls & Observability.
Evidence record: Evidence record v1.
Record schema: Evidence record.
The same topic in 11 other frameworks; the crosswalk section below links each clause.

Id: AIGE-OBL-CEN-PREN18229-1
Instrument: prEN 18229-1 AI trustworthiness framework, Part 1: logging (draft) standard
Clause: prEN 18229-1
Applies from: No date Draft or proposed · Draft; Enquiry vote closed 2026-08-20, as reported

The artefact that evidences it

Logging specification per system; structured, signed event logs mapped to the draft.

L4 Runtime Controls & Observability

What this obligation connects to Solid edges are direct relations, dashed ones looser (a case that cites the same article, a framework whose clauses only touch the topic); patterns and controls take the colour of their stack layer. Select a node to open it; the lists below give every relation in full.

Data table: every relation

Relations of AIGE-OBL-CEN-PREN18229-1
Family	Item	Relation
Same crosswalk topic	AI Verify 3.4.1, 9.8.1, 5.10.1	Core clause
Same crosswalk topic	CSA AICM LOG-09, LOG-12	Core clause
Same crosswalk topic	EU AI Act Art. 12, Art. 26(6), Art. 26, Art. 19	Core clause
Same crosswalk topic	GAO AI Accountability 4.3	Core clause
Same crosswalk topic	ISO 42001 A.6, A.6.2.8	Core clause
Same crosswalk topic	Korea AI Act Art. 34(1)(5)	Core clause
Same crosswalk topic	OECD AI Principles OECD 1.5(b)	Core clause
Same crosswalk topic	TC260 Framework 3.0 TC260 App. 2 II.6, TC260 5.3.6	Core clause
Same crosswalk topic	China AI Labelling Label Art. 5	Related clause
Same crosswalk topic	NIST AI RMF MANAGE 4, MEASURE 3	Related clause
Same crosswalk topic	Singapore Agentic Agentic 2.3.3	Related clause

Patterns that build it

No pattern in the catalogue names this clause on its "Maps to" line yet; the artefact above is the engineering answer.

The same topic in other frameworks

From the topic crosswalk: the clauses filed under the same topics as this one. Mappings are illustrative, not a claim of conformity.

Logging and traceability

EU AI Act Art. 12 Record-keeping (core)
ISO 42001 A.6 AI system life cycle (core)
TC260 Framework 3.0 TC260 App. 2 II.6 Continuous monitoring and auditing (core)
TC260 Framework 3.0 TC260 5.3.6 Logs kept and audited (core)
EU AI Act Art. 26(6) Deployers keep the automatically generated logs (core)
ISO 42001 A.6.2.8 AI system recording of event logs (core) (clause not verified)
CSA AICM LOG-09 Log Records (core)
Korea AI Act Art. 34(1)(5) Documents showing the measures taken (core)
OECD AI Principles OECD 1.5(b) Traceability of datasets, processes and decisions (core)
GAO AI Accountability 4.3 Traceability: document results of monitoring activities and any corrective actions taken (core)
AI Verify 3.4.1 Reproducibility: log all inputs and inference outputs of the model and keep them for a reasonable time for review (core)
AI Verify 9.8.1 Accountability: process or governance-by-design technology for auditability: versioned code, models and data, and an audit trail of deployments and inputs/outputs (core)
EU AI Act Art. 26 Obligations of deployers of high-risk AI systems
NIST AI RMF MANAGE 4 MANAGE 4: Risk treatments, including response and recovery, and communication plans for the identified and measured AI risks are documented and monitored
NIST AI RMF MEASURE 3 MEASURE 3: Mechanisms for tracking identified AI risks over time are in place
China AI Labelling Label Art. 5 Implicit metadata labels
EU AI Act Art. 19 Automatically generated logs
CSA AICM LOG-12 Transaction/Activity Logging
Singapore Agentic Agentic 2.3.3 When deploying, continuously monitor and test
AI Verify 5.10.1 Security: monitor and log inputs to the AI system (queries, prompts, requests)

Source

Chapter 08, section What is NOT harmonised yet, checked against its sources on the review date above.

Machine-readable

This obligation: /api/v1/obligations/aige-obl-cen-pren18229-1.json
The register: /api/v1/obligations.json · CSV
Schema and stability promise: open data and API

Cite this obligation

García Aibar, J. (2026). prEN 18229-1 AI trustworthiness framework, Part 1: logging (draft) (AIGE-OBL-CEN-PREN18229-1). In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0). https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/obligations/aige-obl-cen-pren18229-1. CC BY 4.0

BibTeX

@misc{aige2026obligation,
  author       = {Jorge García Aibar},
  title        = {{prEN 18229-1 AI trustworthiness framework, Part 1: logging (draft) (AIGE-OBL-CEN-PREN18229-1)}},
  howpublished = {In AI Governance Engineering: The Thesis \& Body of Knowledge},
  year         = {2026},
  version      = {0.5.0},
  doi          = {10.5281/zenodo.22956197},
  url          = {https://aigovernanceengineer.com/obligations/aige-obl-cen-pren18229-1},
  note         = {Version 0.5.0}
}