Data Classification
Specification
Classify data according to its type and sensitivity level.
Threat coverage
Architectural relevance
Lifecycle
Data collection, Data storage
Design, Guardrails
Evaluation
Orchestration, AI Services supply chain
Operations, Maintenance, Continuous monitoring
Data deletion, Archiving
Ownership / SSRM
PI
Owned by the Customer (AIC)
The Customer (AIC) is responsible and accountable for the design, development, implementation, and enforcement of the control to mitigate security, privacy, or compliance risks associated with Large Language Model (LLM)/GenAI technologies services or products they consume.
Model
Owned by the Customer (AIC)
The Customer (AIC) is responsible and accountable for the design, development, implementation, and enforcement of the control to mitigate security, privacy, or compliance risks associated with Large Language Model (LLM)/GenAI technologies services or products they consume.
Orchestrated
Owned by the Customer (AIC)
The Customer (AIC) is responsible and accountable for the design, development, implementation, and enforcement of the control to mitigate security, privacy, or compliance risks associated with Large Language Model (LLM)/GenAI technologies services or products they consume.
Application
Owned by the Customer (AIC)
The Customer (AIC) is responsible and accountable for the design, development, implementation, and enforcement of the control to mitigate security, privacy, or compliance risks associated with Large Language Model (LLM)/GenAI technologies services or products they consume.
Implementation guidelines
Auditing guidelines
1. Examine the CSP’s policy, procedures, and technical requirements for classifying data. Establish that this process and key controls comply with the CSP’s data privacy and security policy. Establish whether the CSP has documented the roles and responsibilities for this process. 2. Establish if the CSP’s data classification matrix is aligned with the CSP’s data classification requirements in terms of data type and sensitivity level. 3. Select a sample of data to confirm that each item has been classified appropriately. 4. Examine the measure(s) that evaluate this process and determine if they address the implementation of the process/control requirement(s) as stipulated. Verify that technical measures such as labeling, tagging, and access controls are used to enforce data classification. 5. Verify that data classification criteria are based on the organization's specific needs and regulatory requirements. 6. Verify that data classification processes include regular reviews and updates to reflect data types and sensitivity levels changes. 7. Identify how the CSP evaluates third-party data classification practices and if appropriate risk levels are assigned to each. 8. Examine infrastructure mechanisms that support data classification, such as metadata services, tagging capabilities, or labeling frameworks implemented at the storage layer. 9. Verify that storage resources can be segregated based on data classification levels to enable appropriate isolation of data with different sensitivity requirements. 10. Review access control mechanisms at the infrastructure level that enforce permissions based on data classification, ensuring they're adequately implemented and effective. 11. Assess capabilities for enforcing storage policies (e.g., encryption, retention, geographical restrictions) based on classification levels. 12. Verify that infrastructure logging and monitoring can track and report on activities related to differently classified data, particularly for highly sensitive categories.
Standards mappings
42001: A.4.3 Data Resources 42001: A.2.3 Alignment with other organizational policies 42001: A.5.2 AI system impact assessment process 42001: A.7.3 Acquisition of data 27001: A.5.12 - Classification of information 27002: 5.12 - Classification of information
Addendum
N/A
Article 10 (2) Article 11
Addendum
Classify data according to its type and sensitivity level. While the EU AI Act requires data documentation, it doesn't mandate specific classification schemes.
No Mapping
Addendum
NIST AI 600-1 does not cover the DSP-04 topic of classification.
COS-08 AM-06
Addendum
N/A
AI-CAIQ questions (1)
Are data classified according to its type and sensitivity level?