AICM AtlasCSA AI Controls Matrix
HRS · Human Resources
HRS-03Cloud & AI Related

Clean Desk Policy and Procedures

Specification

Establish, document, approve, communicate, apply, evaluate and maintain policies and procedures that require unattended workspaces to not have openly visible confidential data. Review and update the policies and procedures at least annually.

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

Team and expertise

Development

Supply Chain

Evaluation

Not applicable

Deployment

AI Services supply chain

Delivery

Not applicable

Retirement

Not applicable

Ownership / SSRM

PI

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.

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 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.

Implementation guidelines

[All Actors]
The implementation guidelines provided by the CSP apply.

Auditing guidelines

1. Ensure Cloud Service Provider (CSP) has a documented policy prohibiting display of confidential cloud-related data (e.g., customer configurations, access credentials, logs, billing info) in unattended workspaces.

2. Confirm the policy is approved by cloud security, compliance, and service delivery teams, and is version-controlled.

3. Verify the policy is communicated to all relevant personnel (e.g., cloud engineers, support staff, DevOps, SREs).

4. Check enforcement through screen lock policies, session timeouts, and workspace monitoring across cloud consoles and admin tools.

5. Review incident logs for any breaches involving unattended exposure of sensitive cloud data.

6. Ensure the policy is reviewed and updated annually to reflect changes in cloud architecture, customer SLAs, or regulatory requirements (e.g., ISO 27001, SOC 2, GDPR).

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 AI Policy
27001: 5.1 Leadership and commitment
27001: 5.2 Policy
27001: 7.3 Awareness
27001: 7.4 Communication
27001: 7.5 Documented Information
27001: 9.1 Monitoring
measurement
analysis and evaluation
27001: 9.3 Management Review
27001: A.5.1 Policies for information security
27001: A.5.4 Management responsibilities
27001: A.5.37 Documented operating procedures
27001: A.7.7 Clear desk and clear screen
27002: 5.1 Policies for information security
27002: 5.4 Management responsibilities
27002: 5.37 Documented operating procedures
27002: 7.7 Clear desk and clear screen
Addendum

N/A

EU AI ActFull Gap
No Mapping
Addendum

Establish, document, approve, communicate, apply, evaluate, and maintain policies and procedures that require unattended workspaces to not have openly visible confidential data. Review and update the policies and procedures at least annually.

NIST AI 600-1No Gap
MP-4.1-003
Addendum

N/A

BSI AIC4Full Gap
No mapping
Addendum

No explicit mentioning of workspaces in AIC4 or C5

AI-CAIQ questions (2)

HRS-03.1

Are policies and procedures requiring unattended workspaces to conceal confidential data established, documented, approved, communicated, applied, evaluated, and maintained?

HRS-03.2

Are policies and procedures requiring unattended workspaces to conceal confidential data reviewed and updated at least annually?