GDPR Arts. 33–34: personal data breach notification
Notify the supervisory authority without undue delay and, where feasible, within 72 hours of awareness; tell data subjects without undue delay when the breach is likely to result in a high risk
AIGE-OBL-GDPR-ART33-34. Drawn from chapter 08.
Text alternative
- Clause: GDPR, Arts. 33–34.
- Duty holder: Controller.
- Applies from: 2018-05-25, In force.
- Artefact: Personal-data-breach branch….
- Layers: Layer 04, Layer 05.
- Evidence record: Evidence record v1.
- Record schema: Evidence record.
- No crosswalk topic files this clause yet.
- Id
AIGE-OBL-GDPR-ART33-34- Instrument
- General Data Protection Regulation (EU) 2016/679 law
- Clause
- Arts. 33–34
- In scope
- Controller (the processor notifies the controller)
- Authority
- National data protection authority
- Applies from
- In force
The artefact that evidences it
Personal-data-breach branch of the incident pipeline with its own 72-hour timer; data-subject notice template.
Patterns that build it
- Disclosure & Notification Pipeline (layer 5 and 2)
Open controls that evidence it
Draft controls in the open control profiles that map to this row: each states a requirement and the evidence it must leave behind.
-
AIGE-CTL-DEPLOY-011Serious incident reporting clocks (Deployment and monitoring profile)
Source
Chapter 08, section The GDPR, checked against its sources on the review date above.
Machine-readable
- This obligation:
/api/v1/obligations/aige-obl-gdpr-art33-34.json - The register:
/api/v1/obligations.json· CSV - Schema and stability promise: open data and API
Cite this obligation
García Aibar, J. (2026). GDPR Arts. 33–34: personal data breach notification (AIGE-OBL-GDPR-ART33-34). 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-gdpr-art33-34. CC BY 4.0
BibTeX
@misc{aige2026obligation,
author = {Jorge García Aibar},
title = {{GDPR Arts. 33–34: personal data breach notification (AIGE-OBL-GDPR-ART33-34)}},
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-gdpr-art33-34},
note = {Version 0.5.0}
}