---
title: "Art. 15 AI Act: Accuracy, robustness and cybersecurity"
canonical: "https://dposchool.com/ai-act/article/15"
source: "https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:02024R1689-20260727#art_15"
source_note: "Source: Regulation (EU) 2024/1689, OJ L, 2024/1689, 12.7.2024; articles and annexes from the consolidated text 02024R1689-20260727. Only the text published in the Official Journal is authentic. © European Union, https://eur-lex.europa.eu"
text_as_of: "2026-07-27"
language: "en"
publisher: "DPO School"
---

Art. 15 AI Act · Chapter III: HIGH-RISK AI SYSTEMS · Section 2: Requirements for high-risk AI systems

# Article 15 AI Act: Accuracy, robustness and cybersecurity

Consolidated text of 27 July 2026. Retrieved 30 October 2026.

## Official text

### Article 15(1)

**1.** High-risk AI systems shall be designed and developed in such a way that they achieve an appropriate level of accuracy, robustness, and cybersecurity, and that they perform consistently in those respects throughout their lifecycle.

### Article 15(2)

**2.** To address the technical aspects of how to measure the appropriate levels of accuracy and robustness set out in paragraph 1 and any other relevant performance metrics, the Commission shall, in cooperation with relevant stakeholders and organisations such as metrology and benchmarking authorities, encourage, as appropriate, the development of benchmarks and measurement methodologies.

### Article 15(3)

**3.** The levels of accuracy and the relevant accuracy metrics of high-risk AI systems shall be declared in the accompanying instructions of use.

### Article 15(4)

**4.** High-risk AI systems shall be as resilient as possible regarding errors, faults or inconsistencies that may occur within the system or the environment in which the system operates, in particular due to their interaction with natural persons or other systems. Technical and organisational measures shall be taken in this regard.

The robustness of high-risk AI systems may be achieved through technical redundancy solutions, which may include backup or fail-safe plans.

High-risk AI systems that continue to learn after being placed on the market or put into service shall be developed in such a way as to eliminate or reduce as far as possible the risk of possibly biased outputs influencing input for future operations (feedback loops), and as to ensure that any such feedback loops are duly addressed with appropriate mitigation measures.

### Article 15(5)

**5.** High-risk AI systems shall be resilient against attempts by unauthorised third parties to alter their use, outputs or performance by exploiting system vulnerabilities.

The technical solutions aiming to ensure the cybersecurity of high-risk AI systems shall be appropriate to the relevant circumstances and the risks.

The technical solutions to address AI specific vulnerabilities shall include, where appropriate, measures to prevent, detect, respond to, resolve and control for attacks trying to manipulate the training data set (data poisoning), or pre-trained components used in training (model poisoning), inputs designed to cause the AI model to make a mistake (adversarial examples or model evasion), confidentiality attacks or model flaws.

## Source

Source: Regulation (EU) 2024/1689, OJ L, 2024/1689, 12.7.2024; articles and annexes from the consolidated text 02024R1689-20260727. Only the text published in the Official Journal is authentic. © European Union, https://eur-lex.europa.eu

[Article 15 on EUR-Lex](https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:02024R1689-20260727#art_15)

Consolidated text of 27 July 2026. Retrieved 30 October 2026.

This is reference material, not legal advice.

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