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ObligationUpcomingv1.0.0

Article 15: accuracy, robustness and cybersecurity

Appropriate levels of performance, robustness and security across the lifecycle of high-risk AI.

The official source remains authoritative. This is general information about obligations and not legal advice. See this object on the map

Address and citation

This object has an address of its own that is never renamed or reused. Store the identifier in your own file, not the title or the link.

Identifier
praxikon:eu:ai-act:obligation:article-15-accuracy-robustness
Payload hash (sha256)
96fcf15ac99ca507169f462e66eaebb72ab06b66e3754b0cf69a69347ed4dc6d

Citation line

Praxikon, "Article 15: accuracy, robustness and cybersecurity", praxikon:eu:ai-act:obligation:article-15-accuracy-robustness@1.0.0, dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0), effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-14T00:00:00.000Z, sha256 96fcf15ac99ca507169f462e66eaebb72ab06b66e3754b0cf69a69347ed4dc6d
Version
1.0.0
Legal time (effective_at)
27 July 2026
Knowledge time (known_at)
8 August 2026
Closed on
Not closed
Application date
2 December 2027
Topics
high-risk-requirements

Review status: Placed against the official source (8 August 2026). Next check due by 4 February 2027. The check date is the knowledge date of this version; no later recheck has been recorded.

Who must act and who is affected

On an obligation the addressee is recorded separately from the party that is merely affected. That difference decides who a supervisory authority addresses and who has work to do without the duty resting on them.

Duty holder

Affected actor

Not recorded on this object.

Oversight

Not recorded on this object.

Evidence owner

What this object links to

Every relation appears below as a path: from the source with its locator, through the conditions and exceptions of the object carrying the relation, to the consequence. A locator belongs to a statement in the data and not to a relation, so the source is the source anchor of the carrying object.

Who carries the duty

1 of 1 shown

The duty rests on this role. A supervisory authority addresses this role when it is not met.

  1. Source

    Official fact on this object, with its locator.

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15(1)-(5)

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    • Digital Omnibus on AI 2026/1744

      Locator: Amended Article 113 application dates

      praxikon:eu:ai-act:source:reg-eu-2026-1744

      Open official source

    Via

    • Condition | allThe provider places a high-risk AI system on the market or puts it into service.
    • ExceptionSystems that continue learning after deployment carry additional requirements to control feedback loops and drift.

    As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.

    Consequence

Who owns the evidence

1 of 1 shown

This duty holder creates, maintains and can produce the evidence.

  1. Source

    Official fact on this object, with its locator.

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15(1)-(5)

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    • Digital Omnibus on AI 2026/1744

      Locator: Amended Article 113 application dates

      praxikon:eu:ai-act:source:reg-eu-2026-1744

      Open official source

    Via

    • Condition | allThe provider places a high-risk AI system on the market or puts it into service.
    • ExceptionSystems that continue learning after deployment carry additional requirements to control feedback loops and drift.

    As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.

    Consequence

What has to be done

1 of 1 shown

This is what concretely has to be done under the obligation.

  1. Source

    Official fact on this object, with its locator.

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15(1)-(5)

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    • Digital Omnibus on AI 2026/1744

      Locator: Amended Article 113 application dates

      praxikon:eu:ai-act:source:reg-eu-2026-1744

      Open official source

    Via

    • Condition | allThe provider places a high-risk AI system on the market or puts it into service.
    • ExceptionSystems that continue learning after deployment carry additional requirements to control feedback loops and drift.

    As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.

    Consequence

What has to be recorded

1 of 1 shown

This is what has to be in the file to show that the action was carried out.

  1. Source

    Official fact on this object, with its locator.

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15(1)-(5)

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    • Digital Omnibus on AI 2026/1744

      Locator: Amended Article 113 application dates

      praxikon:eu:ai-act:source:reg-eu-2026-1744

      Open official source

    Via

    • Condition | allThe provider places a high-risk AI system on the market or puts it into service.
    • ExceptionSystems that continue learning after deployment carry additional requirements to control feedback loops and drift.

    As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.

    Consequence

What keeps it in place

1 of 1 shown

This is what keeps compliance in place over time, periodic or event-driven.

  1. Source

    Official fact on this object, with its locator.

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15(1)-(5)

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    • Digital Omnibus on AI 2026/1744

      Locator: Amended Article 113 application dates

      praxikon:eu:ai-act:source:reg-eu-2026-1744

      Open official source

    Via

    • Condition | allThe provider places a high-risk AI system on the market or puts it into service.
    • ExceptionSystems that continue learning after deployment carry additional requirements to control feedback loops and drift.

    As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.

    Consequence

Public tools

1 of 1 shown

This is the public route a reader can actually use.

  1. Source

    Official fact on this object, with its locator.

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15(1)-(5)

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    • Digital Omnibus on AI 2026/1744

      Locator: Amended Article 113 application dates

      praxikon:eu:ai-act:source:reg-eu-2026-1744

      Open official source

    Via

    • Condition | allThe provider places a high-risk AI system on the market or puts it into service.
    • ExceptionSystems that continue learning after deployment carry additional requirements to control feedback loops and drift.

    As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.

    Consequence

What points at this object

Objects hanging off this obligation

6 of 6 shown

The object belongs to this obligation. The source line it hangs off sits there.

  1. Source

    This object carries no official fact of its own. The source line below sits on the obligation it hangs off; the link itself is recorded editorially.

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15(1)-(5)

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    • Digital Omnibus on AI 2026/1744

      Locator: Amended Article 113 application dates

      praxikon:eu:ai-act:source:reg-eu-2026-1744

      Open official source

    Via

    No condition or exception recorded on this object.

    Relation recorded on: Set and test performance and security levels

    Consequence

  2. Source

    This object carries no official fact of its own. The source line below sits on the obligation it hangs off; the link itself is recorded editorially.

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15(1)-(5)

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    • Digital Omnibus on AI 2026/1744

      Locator: Amended Article 113 application dates

      praxikon:eu:ai-act:source:reg-eu-2026-1744

      Open official source

    Via

    No condition or exception recorded on this object.

    Relation recorded on: Performance monitoring in use

    Consequence

  3. Source

    This object carries no official fact of its own. The source line below sits on the obligation it hangs off; the link itself is recorded editorially.

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15(1)-(5)

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    • Digital Omnibus on AI 2026/1744

      Locator: Amended Article 113 application dates

      praxikon:eu:ai-act:source:reg-eu-2026-1744

      Open official source

    Via

    No condition or exception recorded on this object.

    Relation recorded on: Performance and security file

    Consequence

  4. Source

    Official fact on this object, with its locator.

    • ISO/IEC JTC 1/SC 42: international standards for artificial intelligence

      Locator: ISO/IEC TR 24029-1:2021 and ISO/IEC 24029-2:2023, ISO/IEC JTC 1/SC 42

      praxikon:eu:ai-act:source:iso-iec-jtc1-sc42

      Open official source

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    Via

    • Condition | allParticularly relevant to high-risk systems based on neural networks.

    Relation recorded on: ISO/IEC 24029 series: assessment of the robustness of neural networks

    Consequence

  5. Source

    Official fact on this object, with its locator.

    • CEN-CENELEC JTC 21: European standards under standardisation request M/613

      Locator: prEN 18229-2 (draft standard), CEN/CLC/JTC 21 under M/613

      praxikon:eu:ai-act:source:cen-cenelec-jtc21

      Open official source

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15; Article 40

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    Via

    No condition or exception recorded on this object.

    Relation recorded on: prEN 18229-2: AI trustworthiness framework part 2, accuracy and robustness

    Consequence

  6. Source

    This object carries no official fact of its own. The source line below sits on the obligation it hangs off; the link itself is recorded editorially.

    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 15(1)-(5)

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    • Digital Omnibus on AI 2026/1744

      Locator: Amended Article 113 application dates

      praxikon:eu:ai-act:source:reg-eu-2026-1744

      Open official source

    Via

    No condition or exception recorded on this object.

    Relation recorded on: Full text of Article 15

    Consequence

What this object states

Official fact

Attributable to a named primary source, with a locator. Where they differ, the official source prevails.

  • Article 15 requires high-risk systems to achieve and maintain appropriate levels of accuracy, robustness and cybersecurity throughout the lifecycle, including resilience against errors and AI-specific attacks such as data poisoning and adversarial examples.

  • For the Annex III route this requirement applies from 2 December 2027; for high-risk AI in regulated products (Annex I) from 2 August 2028.

    • Locator: Amended Article 113 application datespraxikon:eu:ai-act:source:reg-eu-2026-1744Open official source

Our interpretation

Our own reading. It can change without the law changing, and it is not the position of a supervisory authority.

  • Accuracy here is not a marketing number but a declared, testable value stated in the instructions for use and held against you in production.

Recommended step

A practical step we consider appropriate. Not an obligation following from the Regulation.

  • Ask suppliers now for declared accuracy levels and test reports, and set up production monitoring against those levels.

When this applies

  1. 1The provider places a high-risk AI system on the market or puts it into service.

When this does not apply

  • Systems that continue learning after deployment carry additional requirements to control feedback loops and drift.

Referring to this object

Citation block

Copy this reference into your advice, article or file. The identifier, the version and the hash keep the statement findable later, even once the dataset has moved on.

Reference

Praxikon, "Article 15: accuracy, robustness and cybersecurity",
praxikon:eu:ai-act:obligation:article-15-accuracy-robustness@1.0.0,
dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0),
effective_at 2026-07-27T00:00:00.000Z, known_at 2026-08-08T00:00:00.000Z,
sha256 96fcf15ac99ca507169f462e66eaebb72ab06b66e3754b0cf69a69347ed4dc6d,
https://www.praxikon.com/en/verkenner/obligation/article-15-accuracy-robustness
(https://www.praxikon.com/api/v1/obligations?id=praxikon%3Aeu%3Aai-act%3Aobligation%3Aarticle-15-accuracy-robustness&effective_at=2026-07-27&known_at=2026-08-08&lang=en, accessed 2026-08-25)

Short form

praxikon:eu:ai-act:obligation:article-15-accuracy-robustness@1.0.0 (sha256 96fcf15a)

BibTeX

@misc{praxikon-eu-ai-act-obligation-article-15-accuracy-robustness-1-0-0,
  author       = {{Praxikon}},
  title        = {Article 15: accuracy, robustness and cybersecurity},
  year         = {2026},
  version      = {1.0.0},
  number       = {praxikon:eu:ai-act:obligation:article-15-accuracy-robustness},
  howpublished = {AI Act Change \& Evidence Graph, dataset 2.1.0, schema 1.4.0},
  note         = {effective_at 2026-07-27T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 96fcf15ac99ca507169f462e66eaebb72ab06b66e3754b0cf69a69347ed4dc6d},
  url          = {https://www.praxikon.com/en/verkenner/obligation/article-15-accuracy-robustness},
  urldate      = {2026-08-25},
  language     = {en}
}

CSL JSON

[
  {
    "id": "praxikon:eu:ai-act:obligation:article-15-accuracy-robustness@1.0.0",
    "type": "dataset",
    "title": "Article 15: accuracy, robustness and cybersecurity",
    "container-title": "AI Act Change & Evidence Graph",
    "publisher": "Praxikon",
    "version": "1.0.0",
    "number": "praxikon:eu:ai-act:obligation:article-15-accuracy-robustness",
    "URL": "https://www.praxikon.com/en/verkenner/obligation/article-15-accuracy-robustness",
    "language": "en",
    "issued": {
      "date-parts": [
        [
          2026,
          8,
          8
        ]
      ]
    },
    "accessed": {
      "date-parts": [
        [
          2026,
          8,
          25
        ]
      ]
    },
    "note": "dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0; schema 1.4.0; effective_at 2026-07-27T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 96fcf15ac99ca507169f462e66eaebb72ab06b66e3754b0cf69a69347ed4dc6d; retrieved_from https://www.praxikon.com/api/v1/obligations?id=praxikon%3Aeu%3Aai-act%3Aobligation%3Aarticle-15-accuracy-robustness&effective_at=2026-07-27&known_at=2026-08-08&lang=en; licence https://www.praxikon.com/nl/legal/terms"
  }
]

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