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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 inference), or
exploit vulnerabilities in the AI system’s digital assets or the underlying ICT infrastructure.
To ensure a level of cybersecurity appropriate to the risks, suitable measures, such as
security controls, should therefore be taken by the providers of high-risk AI systems, also
taking into account as appropriate the underlying ICT infrastructure.
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