The UK government has rolled out an AI cybersecurity code of practice which sets out 13 principles that span the entire AI lifecycle; from secure design and deployment to end-of-life management. Key measures laid out in the document include training staff to recognise AI-related risks, securing infrastructure like APIs and data pipelines, and ensuring proper disposal of data and models. The code also defines key responsibilities for developers, system operators and data custodians to secure AI systems against threats like data poisoning, model inversion and membership inference. The code also comes with an implementation guide.
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