HRS-11Cloud & AI Related

Security Awareness Training

Specification

Establish, document, approve, communicate, apply, evaluate and maintain a security awareness training program for all employees of the organization and provide regular training updates.

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. Develop a comprehensive code of conduct, security, and privacy training program using interactive modules, intranet content, webinars, videos, emails, and posters aligned with organizational policies and risk profiles. Note on AI-specific training: Content should provide guidelines on using AI tools to prevent data leaks and attacks, teach employees to recognize AI-generated threats, address AI-related risks, incorporate ethical considerations and compliance, handle data, report incidents, and prevent misuse of AI.

2. Provide training to all employees and contractors during onboarding and annually thereafter to educate personnel about their responsibilities and the necessary means for securing corporate assets. 

3. Evaluate the training effectiveness and maintain records of evaluation.

4. Maintain training attendance records.

5. Tailor training based on roles and responsibilities.

6. Review and update the training program annually.

Auditing guidelines

1. Verify the CSP provides comprehensive and role-based security awareness training to all employees, covering topics from physical datacenter security to cloud infrastructure security and customer data privacy obligations.

2. Review the CSP's training curriculum and completion metrics.

Standards mappings

ISO 42001No Gap

42001: A.2.3 Alignment with other organizational policies
42001: 5.3 Roles
responsibilities and authorities
42001: 7.3 Awareness
42001: A.4.6 Human Resource
27001: 7.3 Awareness
27001: A.5.1 Policies for Information Security
27001: A.5.36 Compliance with policies
rules and standards for information security
27001: A.6.3 Information security awareness
education and training
27002: 5.1 Policies for Information Security
27002: 5.36 Compliance with policies
rules and standards for information security
27002: 6.3 Information security awareness
education and training

Addendum

N/A

EU AI ActPartial Gap

Article 4
Article 17

Addendum

There is no comprehensive, documented, and regularly updated organization-wide security awareness program in the EU AI Act.

NIST AI 600-1No Gap

MP-4.1-003

Addendum

N/A

BSI AIC4No Gap

HR-03
DEV-04

Addendum

N/A

AI-CAIQ questions (2)

HRS-11.1

Is a security awareness training program for all employees of the organization established, documented, approved, communicated, applied, evaluated and maintained?

HRS-11.2

Are regular security awareness training updates provided?