HRS-08Cloud & AI Related

Employment Agreement Content

Specification

The organization includes within the employment agreements provisions and/or terms for adherence to established information governance and security policies.

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. AI-Specific Contract Clauses: Include clear language in employment and contractor agreements mandating adherence to AI data handling, confidentiality, and security obligations. Extend these clauses to any third-party or subcontractor arrangements.

2. Mandatory Training and Awareness: Require all new hires and existing personnel to undergo initial and periodic AI training sessions covering governance, ethical standards, incident response, and regulatory compliance.

3. Incident Reporting Requirements: Outline employee obligations to promptly report any suspicious activity or potential AI data breach, referencing clearly defined protocols for escalation and investigation.

4. Periodic Review of Contractual Terms: Schedule routine reviews of AI-related contract language to align with evolving best practices, ethical standards, and regulatory requirements.

Auditing guidelines

1. Review the CSP's employment agreement to ensure it includes stringent terms requiring adherence to the company's security policies, customer data confidentiality obligations (including zero-trust principles), and privacy regulations.

2. Confirm these terms are a condition of employment.

Standards mappings

ISO 42001No Gap

42001: A.2.3 Alignment with other organizational policies
27001: A.6.2 Terms and conditions of employment
27001: A.6.6 Confidentiality or non-disclosure agreements
27002: 6.2 Terms and conditions of employment
27002: 6.6 Confidentiality or non-disclosure agreements

Addendum

N/A

EU AI ActFull Gap

No Mapping

Addendum

The organization includes within the employment agreements provisions and/or terms for adherence to established information governance and security policies.

NIST AI 600-1No Gap

MP-4.1-003

Addendum

N/A

BSI AIC4No Gap

HR-02

Addendum

N/A

AI-CAIQ questions (1)

HRS-08.1

Are provisions and/or terms for adherence to established information governance and security policies included within employment agreements?