Versatile AI Risk Assessment

AI threat catalogue Supply Chain and Provenance Supply Chain

Supply Chain – Infrastructure

Attackers compromise the technical environment in which an AI system is developed and operated: cloud services, development tools, and third-party software components. This gives them access to systems, data, and models.

As of: October 2026 · Catalogue version 2026.10.24.2 · 4 mitigations · 14 verified sources

Description

An AI system is never built in isolation: it relies on cloud platforms, code libraries, development tools, and services from external providers. Any of these components can contain vulnerabilities or be deliberately manipulated. Attackers exploit, for example, vulnerable or counterfeit software packages, openly reachable AI servers, or unsecured container registries (storage locations for ready-to-run software packages) to slip in unnoticed. Once inside, they can take over systems and networks, extract data, or alter the model itself. The risk spans the entire chain from training to live operation and often originates outside your own organization, with a provider or supplier.

Possible impact

A compromised infrastructure can disrupt or halt the AI system and destroy the integrity of the model, so its results can no longer be relied on. Confidential data such as training data, access credentials, or customer records can leak. The fallout includes recovery and investigation costs, notification and liability exposure under the GDPR and the EU AI Act, and reputational damage with customers and partners.

Example

A development team installs a popular AI code library. Attackers have slipped a counterfeit dependency into the official package channel that silently sends credentials and system information to an external server during installation. This is exactly what happened to users of a preview build of a widely used AI framework.

Recommended mitigations (4)

Compare effects and implementation levels. Expand each entry for the additional classification and rationale.

  • Use trusted suppliers

    Contracts & third-party management
    Effect
    Preventive
    Implementation level
    Supply chain
    Classification and rationale

    Complementary control typeOrganizational & process-based

    Primarily a contracts and third-party management control: Selection, verifiable commitments, and audit or enforcement rights toward third parties enable the protective effect; complemented by binding workflows.

  • Infrastructure hardening

    Technical
    Effect
    Preventive
    Implementation level
    Infrastructure
    Classification and rationale

    Primarily technical: Safe formats, restrictive defaults, or protective layers reduce unsafe execution paths and exploitable attack surface.

  • Supply chain security audits

    Contracts & third-party management
    Effect
    Preventive, Detective
    Implementation level
    Supply chain
    Classification and rationale

    Complementary control typeOrganizational & process-based

    Primarily a contracts and third-party management control: Contractual audit, information, and remediation rights enable control; binding audit workflows put those rights into practice.

  • Continuous monitoring of hosting environments

    Technical
    Effect
    Detective
    Implementation level
    Infrastructure, Use & operations
    Classification and rationale

    Complementary control typeOrganizational & process-based

    Primarily technical: Software or analytical tools systematically produce and evaluate measurements, deviations, or attack indicators; complemented by binding workflows.

Framework mappings

Verified locations in OWASP, NIST AI RMF, MITRE ATLAS, the EU AI Act and further frameworks. The mappings are taxonomic, not evidence of compliance.

Verified references (14)

Every reference states the framework, the exact location and the publishing organisation.

EU AI Act obligations related to this threat

The obligations from the obligations compass whose articles the catalogue maps to this threat. Each leads to its entry with core, action step and evidence; whether it applies to you depends on role and risk class.

  • Support downstream providers Art. 25 Abs. 2, Art. 25 Abs. 4 · applies from Annex III: 2 December 2027 · Annex I: 2 August 2028 · amended by Reg. 2026/1744

    Statutory roles: Provider, Provider of a general-purpose AI model. Classes: High-risk under Annex III, High-risk as a product or safety component.

    Regulation (EU) 2026/1744 spelled out the initial provider duty to cooperate and at the same time created an exception: it does not apply where the initial provider has clearly specified that their system must not be turned into a high-risk system. Infringements of Art. 25(2) and (4) are now expressly subject to fines.

    This reference is a review prompt. A threat match alone does not establish applicability.

  • Draw up the technical documentation of the model Art. 53 Abs. 1 Buchst. a, Anhang XI · applies from 2 August 2025

    Statutory roles: Provider of a general-purpose AI model. Classes: General-purpose AI model, Model with systemic risk.

    This reference is a review prompt. A threat match alone does not establish applicability.

  • Provide information to downstream providers Art. 53 Abs. 1 Buchst. b, Anhang XII · applies from 2 August 2025

    Statutory roles: Provider of a general-purpose AI model. Classes: General-purpose AI model, Model with systemic risk.

    This reference is a review prompt. A threat match alone does not establish applicability.

  • Respect copyright and summarise the training content Art. 53 Abs. 1 Buchst. c und d · applies from 2 August 2025

    Statutory roles: Provider of a general-purpose AI model. Classes: General-purpose AI model, Model with systemic risk.

    For models released under a free and open-source licence with publicly available parameters, the obligations under points (a) and (b) do not apply, but the copyright policy and the summary do. Models with systemic risk are excluded from this relief.

    This reference is a review prompt. A threat match alone does not establish applicability.

  • Evaluate and mitigate systemic risks Art. 55 · applies from 2 August 2025

    Statutory roles: Provider of a general-purpose AI model. Classes: Model with systemic risk.

    This reference is a review prompt. A threat match alone does not establish applicability.

All 62 obligations by role, risk class and deadline in the obligations compass

More entries from the topic group Supply Chain and Provenance.

Matching use cases

This list shows where to review this threat, rather than how high the risk is.

Belongs on the checklist for every AI system. What to review for every AI system

Frequently asked questions

What is Supply Chain – Infrastructure?
Attackers compromise the technical environment in which an AI system is developed and operated: cloud services, development tools, and third-party software components. This gives them access to systems, data, and models.
Which mitigations help against Supply Chain – Infrastructure?
The catalogue lists 4 mitigations, each with control type, effect and implementation level. First among them are Use trusted suppliers, Infrastructure hardening and Supply chain security audits.
Which EU AI Act obligations does Supply Chain – Infrastructure touch?
The catalogue maps this threat to Art. 25 Abs. 2, Art. 53 Abs. 1 Buchst. a, Art. 53 Abs. 1 Buchst. b, Art. 53 Abs. 1 Buchst. c und d and Art. 55 of the EU AI Act. In the obligations compass this leads to: Support downstream providers, Draw up the technical documentation of the model, Provide information to downstream providers, Respect copyright and summarise the training content and Evaluate and mitigate systemic risks. Whether an obligation applies depends on role, risk class and deadline.

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Cite this entry

For reports, policies or internal documents; the link leads directly to this entry.

“Supply Chain – Infrastructure”. Versatile AI Risk Assessment, AI threat catalogue, as of October 2026.
https://www.versatile-ai-risk-assessment.com/en/wissensbasis/threats/supply-chain-infrastructure/

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