Uniquely Identifiable Users
Specification
Define, implement and evaluate processes, procedures and technical measures, that ensure identities’ activities are identifiable through uniquely associated IDs.
Threat coverage
Architectural relevance
Lifecycle
Data collection, Resource provisioning
Design, Supply Chain
Validation/Red Teaming
AI Services supply chain
Operations, Maintenance
Archiving, Data deletion, Model disposal
Ownership / SSRM
PI
Owned by the Cloud Service Provider (CSP)
The Cloud Service Provider (CSP) is responsible for the design, development, implementation, and enforcement of the control to mitigate security, privacy, or compliance risks associated with cloud computing (processing, storage, and networking) technologies in the context of the services or products they develop and offer. The CSP is responsible and accountable for implementing the control within its own infrastructure/environment. The CSP is responsible for enabling the customer and/or upstream partner to implement/configure the control within their risk management approach. The CSP is accountable for ensuring that its providers upstream implement the control related to the service/product developed and offered by the CSP.
Model
Owned by the Model Provider (MP)
The model provider (MP) designs, develops, and implements the control as part of their services or products to mitigate security, privacy, or compliance risks associated with the Large Language Model (LLM). Model Providers are entities that develop, train, and distribute foundational and fine-tuned AI models for various applications. They create the underlying AI capabilities that other actors build upon. Model Providers are responsible for model architecture, training methodologies, performance characteristics, and documentation of capabilities and limitations. They operate at the foundation layer of the AI stack and may provide direct API access to their models. Examples: OpenAI (GPT, DALL-E, Whisper), Anthropic(Claude), Google(Gemini), Meta(Llama), as well as any customized model.
Orchestrated
Shared Cloud Service Provider-Model Provider (Shared CSP-MP)
The CSP and MP are jointly 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 in the context of the services or products they develop and offer.
Application
Shared Application Provider-AI Customer (Shared AP-AIC)
The AP and AIC both share responsibility and accountability 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 in the context of the services or products they offer and consume.
Implementation guidelines
Auditing guidelines
1. Confirm cloud tenants and users are assigned unique identifiers across all services. 2. Ensure traceability from IAM policies to cloud resource actions. 3. Check for mechanisms that detect shared credentials or account reuse. 4. Validate logging systems associate user IDs with resource operations. 5. Confirm periodic reviews of identity lifecycle management for cloud accounts. From CCM: 1. Determine if processes, procedures, and technical measures are defined and require that users are identifiable through unique IDs or by association of individuals to the usage of user IDs. 2. Determine if the established processes, procedures, and technical measures are implemented and consistently followed in practice.
Standards mappings
42001: A.2.3 - Alignment with other organizational policies 42001: A.2.4 - Review of the AI policy 27001: A.5.1 - Policies for information security 27001:A.5.16 - Identity management
Addendum
N/A
Article 9 Article 14 Article 15 Article 17 Annex IV
Addendum
Add a requirement for: unique user IDs, restrictions on shared accounts, identity traceability in audit logs, or identity lifecycle governance.
No Mapping
Addendum
No (explicit/implicit) reference to the requirement set by the AICM control is made in the NIST AI 600-1 standard.
C4 DM-02 C5 IDM-01 C5 ISM-02
Addendum
N/A
AI-CAIQ questions (1)
Are processes, procedures, and technical measures, that ensure identities’ activities are identifiable through uniquely associated IDs, defined, implemented, and evaluated?