UEM-04Cloud & AI Related

Endpoint Inventory

Specification

Maintain an inventory of all endpoints used to store and process company data.

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 storage

Development

Design, Guardrails

Evaluation

Not applicable

Deployment

Orchestration, AI applications

Delivery

Operations, Maintenance, Continuous monitoring

Retirement

Data deletion

Ownership / SSRM

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

Shared Model Provider-Orchestrated Service Provider (Shared MP-OSP)

The MP and OSP 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

Owned by the Customer (AIC)

The Customer (AIC) is 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 services or products they consume.

Implementation guidelines

[Applicable to all actors except CSP] 
1. Sync UEM managed device inventories with the central asset management system (e.g., CMDB) to ensure a unified view of all endpoints across stakeholders.

2. Enforce automated discovery agents on endpoints to capture new or rogue devices and flag discrepancies against the approved inventory.

3. Implement real time dashboards for inventory health, highlighting unregistered endpoints or those pending decommissioning.

4. Conduct monthly reconciliation between UEM inventory and network logs, escalating any unknown devices to the governance committee for review.

Auditing guidelines

1. Verify that the CSP has a documented and approved centralized endpoint inventory policy, covering all devices accessing or storing organizational data.

2. Confirm the use of automated discovery tools to detect and inventory all connected endpoints, including mobile and BYOD devices.

3. Inspect whether the inventory captures critical data such as network addresses, hardware identifiers, device names, asset owners, departments, and device authorization status.

4. Review implementation evidence including inventory reports, discovery tool logs, device approval processes, and decommissioning records for unauthorized devices.

5. Ensure the CSP regularly updates the inventory to reflect device changes, ownership, configuration updates, and software versions, with active enforcement of removal or quarantine for unauthorized endpoints.


From CCM:
1. Examine the asset register, with reference to endpoints.
2. Determine if endpoints that store and access company data are tagged and included in the asset inventory.

Standards mappings

ISO 42001No Gap

ISO 42001 - A.4.5
ISO 27001 - A.5.9

Addendum

N/A

EU AI ActPartial Gap

Article 11
Annex IV (1), (4)

Addendum

Extend to infrastructure or asset-level visibility required to maintain an accurate endpoint inventory.

NIST AI 600-1No Gap

GV-1.6-001

Addendum

N/A

BSI AIC4No Gap

C4 DM-03
C5 AM-01
C5 AM-05

Addendum

N/A

AI-CAIQ questions (1)

UEM-04.1

Is an inventory of all endpoints used to store and process company data maintained?