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For organisations to realise the full potential of AI, they need to ensure that they are using and integrating it securely. This is more than simply applying cybersecurity measures – it requires leaders at all levels of the organisation to think holistically about how AI will be used, and to consider what might happen if an AI system fails or becomes compromised.

This is particularly important as the use of AI is growing in both government and industry – and as more systems are integrated, the threat surface grows. As a result, the NCSC has published guidelines to help data scientists, developers and decision-makers build AI products that function as intended, are available when required and work without revealing sensitive information to unauthorised parties. It is also important for all leaders to keep abreast of emerging trends in AI and to make sure that their teams understand the risks of AI, including adversarial machine learning.

Artificial intelligence has become an indispensable tool for cybersecurity, helping to combat the proliferation of cyber threats. By leveraging deep neural networks and other advanced analytics, AI can analyse massive amounts of data, detect deviations from normal behaviour, and quickly identify potential threats that would be difficult for humans to notice.

However, it is essential to remember that AI is a powerful tool that should be used in conjunction with human expertise and ongoing research to stay one step ahead of cyberattackers. It is equally important to keep abreast of evolving trends in the field of AI security, including understanding how AI models can be manipulated or exploited and gaining an understanding of the tools used in ethical hacking and penetration testing to identify vulnerabilities.