Knowledge & Data · Data store
Personal Data Store
Data storeKnowledge & DataKnowledge & Dataarc:PersonalDataStore
A system-of-record database holding identifiable personal data about data subjects, such as customer, patient, employee or applicant records, processed by an application or AI system.
Responsibility. Persists identifiable personal data for its declared purposes.
Also known as: Customer database, Electronic health record, HRIS, Member claims store, User account database, Calendar, email, browsing, location, transaction and health data
Relationships
is read by dependency
is written by dependency
emits telemetry to dynamic
has access controlled by control
is constrained by control
is guarded by control
is evaluated by assurance
Design guidance
- SHOULD NOT be accessed by engineers or data scientists during normal development; use anonymized development and test datasets.
Classification
- Patterns
- Integrity and confidentiality
- Quality attributes
- Privacy (NIST AI RMF: privacy-enhanced)Security (ISO/IEC 25010 | NIST AI RMF: secure and resilient)
- Frameworks & regulations
- GDPR Art. 32
Sources
- Ch9.7: T. Nguyen, "GDPR and Data Protection Regulations," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.7. ISBN: 9798244538229.
- Ch10.1: T. Nguyen, "Conversational UI," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.1. ISBN: 9798244538229.
- Ch10.2: T. Nguyen, "Proactive Agents," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.2. ISBN: 9798244538229.
- Ref9.05: "Privacy and Data Protection for AI Systems," unpublished reference note (references/Chapter 9 - Safety, Ethics, and Compliance/05-Privacy-Data-Protection.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note