Articles
AI is moving fast, and so are the questions around privacy, security, cost, infrastructure, regulation and control. Here we examine the facts behind the decisions organisations face when they adopt AI. Each article takes one specific question and answers it with dated facts, named organisations, primary documents and reputable sources. No hype. No vague claims. Just evidence, context and practical analysis, so you can see what is changing, what it means for your organisation, and where AI belongs.
7 min read
Language models do not separate instructions from content, so any text the model reads can behave like a command. What EchoLeak showed, why retrieval makes it worse, and why running the model locally does not fix it.
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7 min read
The pipeline, stage by stage, and the security question at each one. Why document-level permissions have to be enforced at retrieval time, why the index is a second copy of your data, and the seven questions to answer before a RAG system goes live.
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8 min read
The ten risks in plain business language, which of them an on-premise deployment touches, which it does not, and the minimum an organisation of thirty people should actually do about them.
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6 min read
A firewall is layer one of seven. Identity, authorisation, data, application, model and operations are the other six, and an on-premise deployment only improves one and a half of them.
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