--- authoritative: false representation: annotated-page publisher: AstroKube methodology: https://ai-act.astrokube.com/about/ source_verified_on: '2026-09-15' site_content_updated_on: '2026-09-15' title: 'Article 15: Accuracy, robustness and cybersecurity | EU AI Act | AstroKube' description: 'Article 15, EU AI Act: 1. High-risk AI systems shall be designed and developed in such a way that they achieve an appropriate level of accuracy…' language: en source: https://ai-act.astrokube.com/law/art-15/ --- 1. [Start](https://ai-act.astrokube.com/) 2. [The law](https://ai-act.astrokube.com/law/) 3. Article 15 Chapter III · Section 2 · Requirements for high-risk AI systems # Article 15 — Accuracy, robustness and cybersecurity ▼ Primary text, verbatim. Our annotations appear below, visibly separated. [1\.](https://ai-act.astrokube.com/law/art-15/#p-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. [2\.](https://ai-act.astrokube.com/law/art-15/#p-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. [3\.](https://ai-act.astrokube.com/law/art-15/#p-3) The levels of accuracy and the relevant accuracy metrics of high-risk AI systems shall be declared in the accompanying instructions of use. [4\.](https://ai-act.astrokube.com/law/art-15/#p-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. [5\.](https://ai-act.astrokube.com/law/art-15/#p-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. This text is meant purely as a documentation tool and has no legal effect. The Union's institutions do not assume any liability for its contents. The authentic versions of the relevant acts, including their preambles, are those published in the Official Journal of the European Union and available in EUR-Lex. [ Recital 74 — interpretive context High-risk AI systems should perform consistently throughout their lifecycle and meet an appropriate level of accuracy, robustness and cybersecurity, in light of their intended purpose and in accordance with the generally acknowledged state of the art. The Commission and relevant organisations and stakeholders are encouraged to take due consideration of the mitigation of risks and the negative impacts of the AI… ](https://ai-act.astrokube.com/law/recital-74/)[ Recital 76 — interpretive context Cybersecurity plays a crucial role in ensuring that AI systems are resilient against attempts to alter their use, behaviour, performance or compromise their security properties by malicious third parties exploiting the system’s vulnerabilities. Cyberattacks against AI systems can leverage AI specific assets, such as training data sets (e.g. data poisoning) or trained models (e.g. adversarial attacks or membership… ](https://ai-act.astrokube.com/law/recital-76/) ## What this means for you In your terms · Accuracy, robustness and cybersecurity Adversarial input, prompt injection and poisoning resistance are test suites, not adjectives. - Adversarial and injection test suite ## Obligations derived from this article [Accuracy, robustness and cybersecurityArt. 15](https://ai-act.astrokube.com/explorer/?art=art-15) ## If you would rather not read the law The basics page explains the Regulation's own categories in order: scope, role, tier, date. The engineering view groups the obligations by the platform capability they demand. [Start with the basics →](https://ai-act.astrokube.com/basics/) [Open the engineering view →](https://ai-act.astrokube.com/engineering/) ## About this provision ### Status Upcoming 2 Dec 2027 Moved from ~2 Aug 2026~ ### Regime High-risk ### Binds Provider ### Type Article · Chapter III · Section 2 ### Amended by Not amended ### Recitals [74](https://ai-act.astrokube.com/law/recital-74/) [76](https://ai-act.astrokube.com/law/recital-76/) ### Related [Article 9](https://ai-act.astrokube.com/law/art-9/) [Article 42](https://ai-act.astrokube.com/law/art-42/) ### Cited capture regulation-2024-1689/en-2026-08-18.html sha256 8f0b656302f9864c… [Authentic text (EUR-Lex) →](http://data.europa.eu/eli/reg/2024/1689/oj) [This version (EUR-Lex) →](https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:02024R1689-20260727) ### Machine readable [/law/art-15.md](https://ai-act.astrokube.com/law/art-15.md) [/api/law.json](https://ai-act.astrokube.com/api/law.json) ### Found an error? 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