HRS-04Cloud & AI Related

Remote and Home Working Policy and Procedures

Specification

Establish, document, approve, communicate, apply, evaluate and maintain policies and procedures to protect information accessed, processed or stored at remote sites and locations. 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

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)

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]
1. Secure Remote Access: Require VPNs or encrypted tunnels combined with multi-factor authentication (MFA) and privileged credentials when connecting to AI environments from remote locations.

2. Data Protection and Confidentiality: Enforce strict data classification and handling procedures; use secure cloud-based development platforms, and restrict or prohibit local storage of sensitive AI datasets.

3. Access Controls and Endpoint Security: Implement role-based access controls for remote AI processes; harden end-user devices with endpoint protection, maintain current OS baselines, and continuously monitor for anomalies.

4. Training and Alignment: Conduct regular training for remote personnel on AI security practices, data governance, and phishing detection. Align remote workflows with relevant legal and provider-specific requirements.

5. Regular Policy Review: Review and update remote access and data protection policies at least annually or when significant technological or regulatory changes arise, ensuring stakeholder input is integrated.

Auditing guidelines

1. Verify the CSP's remote work policy for its own employees requires the use of hardened, company-managed devices and secure, authenticated connections for any access to the cloud infrastructure.

2. Review the CSP's security attestations for controls related to remote administrative access.

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.6.7 Remote working
27001: A.7.9 Security of assets off-premises
27002: 5.1 Policies for information security
27002: 5.4 Management responsibilities
27002: 5.37 Documented operating procedures
27002: 6.7 Remote working
27002: 7.9 Security of assets off-premises

Addendum

N/A

EU AI ActFull Gap

No Mapping

Addendum

Establish, document, approve, communicate, apply, evaluate, and maintain policies and procedures to protect information accessed, processed, or stored at remote sites and locations. Review and update the policies and procedures at least annually.

NIST AI 600-1No Gap

MP-4.1-003

Addendum

N/A

BSI AIC4No Gap

AM-02
PS-01
SSO-01

Addendum

N/A

AI-CAIQ questions (2)

HRS-04.1

Are policies and procedures to protect information accessed, processed, or stored at remote sites and locations established, documented, approved, communicated, applied, evaluated, and maintained?

HRS-04.2

Are policies and procedures to protect information accessed, processed, or stored at remote sites and locations reviewed and updated at least annually?