AICM AtlasCSA AI Controls Matrix
STA · Supply Chain Management, Transparency, and Accountability
STA-13Cloud & AI Related

Supply Chain Service Agreement Compliance

Specification

Implement policies requiring all service providers throughout the supply chain to comply with information security, confidentiality, access control, privacy, audit, personnel policy and service level requirements and standards.

Threat coverage

Model manipulation
Data poisoning
Sensitive data disclosure
Model theft
Model/Service Failure
Insecure supply chain
Insecure apps/plugins
Denial of Service
Loss of governance

Architectural relevance

Physical infrastructure
Network
Compute
Storage
Application
Data

Lifecycle

Preparation

Data collection, Data curation, Data storage, Resource provisioning

Development

Design, Training, Guardrails

Evaluation

Evaluation, Validation/Red Teaming, Re-evaluation

Deployment

Orchestration, AI Services supply chain, AI applications

Delivery

Operations, Maintenance, Continuous monitoring, Continuous improvement

Retirement

Archiving, Data deletion, Model disposal

Ownership / SSRM

PI

Shared across the supply chain

Shared control ownership refers to responsibilities and activities related to LLM security that are distributed across multiple stakeholders within the AI supply chain, including the Cloud Service Provider (CSP), Model Provider (MP), Orchestrated Service Provider (OSP), Application Provider (AP), and Customer (AIC). These controls require coordinated actions, communication, and governance across all involved parties to ensure their effectiveness.

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

Owned by the Orchestrated Service Provider (OSP)

The Orchestrated Service Provider (OSP) is responsible 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. The OSP is responsible and accountable for the implementation of the control within its own infrastructure/environment. If the control has downstream implications on the users/customers, the OSP is responsible for enabling the customer and/or upstream partner in the implementation/configuration of the control within their risk management approach. The OSP is accountable for ensuring that its providers upstream (e.g MPs) implement the control as it relates to the service/product the develop and offered by the OSP. This refers to entities that create the technical building blocks and management tools that enable AI implementation. This can include platforms, frameworks, and tools that facilitate the integration, deployment, and management of AI models within enterprise workflows. These providers focus on model orchestration and offer services like API access, automated scaling, prompt management, workflow automation, monitoring, and governance rather than end-user functionality or raw infrastructure. They help businesses implement AI in a structured and efficient manner. Examples: AWS, Azure, GCP, OpenAI, Anthropic, LangChain (for AI workflow orchestration), Anyscale (Ray for distributed AI workloads), Databricks (MLflow), IBM Watson Orchestrate, and developer platforms like Google AI Studio.

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

[All Actors]
1. Establish comprehensive service provider compliance policies covering information security, confidentiality, access control, privacy, audit, personnel, and service level requirements applicable to all supply chain partners.

2. Require contractual commitments from all service providers to comply with organizational security standards, regulatory requirements, and industry best practices relevant to their services.

3. Implement compliance verification processes including regular assessments, audits, and certifications to ensure service providers maintain adherence to required standards.

4. Monitor ongoing compliance through service level monitoring, security assessments, incident reporting, and periodic compliance reviews with all supply chain service providers.

5. Enforce compliance consequences including remediation requirements, service restrictions, or contract termination for service providers who fail to meet compliance obligations.

6. Document compliance status and maintain records of service provider compliance assessments, certifications, and remediation activities for audit and risk management purposes.

Auditing guidelines

1. Assess whether the CSP has established a formal policy or framework for integrating security, compliance, and governance requirements into contractual agreements across its supply chain, including subcontractors and technology partners.

2. Verify that these requirements are consistently reflected in executed contracts with third parties. This includes provisions related to data protection, regulatory compliance, service availability, and incident response.

3. Evaluate whether the CSP retains the contractual right to audit or assess its supply chain partners where necessary. This should include the ability to verify compliance with agreed-upon controls and to address risks related to data security, service continuity, and regulatory obligations.

Standards mappings

ISO 42001No Gap
42001: A.2.2 AI policy
42001: A.2.3 Alignment with other organizational policies
42001 A.2.4 Review of the AI policy
42001: A.10.2 Allocating Responsibilities
42001: A.10.4 Customers
27001: A.5.19 Information security in supplier relationships
27001: A.5.20 Addressing information security within supplier agreements
27001: A.5.21 Managing information security in the information and communication technology (ICT) supply chain
27001: A.5.22 Monitoring
review and change management of supplier services
27001: A.5.23 Information security for use of cloud services
27002: 5.19 Information security in supplier relationships
27002: 5.20 Addressing information security within supplier agreements
27002: 5.21 Managing information security in the information and communication technology (ICT) supply chain
27002: 5.22 Monitoring
review and change management of supplier services
27002: 5.23 Information security for use of cloud services
Addendum

N/A

EU AI ActPartial Gap
Article 16
Article 17
Article 22
Article 23
Article 24
Article 25
Article 26
Article 53
Article 54
Article 55
Addendum

Contractual Clauses in Supplier Agreements, Extend Internal QMS/Risk Programs to Suppliers, Mandate Third-Party Compliance With Standards, Create a Third-Party Governance Policy, Monitor and Enforce Compliance.

NIST AI 600-1Partial Gap
GV-6.1-009
GV-6.1-004
Addendum

Include mentions of confidentiality, access control, and audit, Personnel policy and staffing controls, SLRs and enforceable service-level governance.

BSI AIC4No Gap
C4 PC-01
C5 SSO-01
Addendum

N/A

AI-CAIQ questions (1)

STA-13.1

Are policies implemented requiring all service providers throughout the supply chain to comply with information security, confidentiality, access control, privacy, audit, personnel policy and service level requirements and standards?