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Articles

Private AI, backed by evidence.

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.

  • With cloud AI

    7 min read

    When AI data leaves the network. Three incidents worth attention.

    300 million messages exposed by one configuration setting. A ChatGPT flaw that could turn a conversation into an exfiltration channel. Samsung source code pasted into a chatbot. What each one means for a bank, a hospital or a law firm.

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  • With cloud AI

    6 min read

    AI costs are not only about the price per token.

    A launch price announced as temporary, a 50 % rise scheduled, then cancelled. The arithmetic for a 50-person team. The volume at which a fixed fee starts to win, and why predictability is a different question from cheapness.

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  • With cloud AI

    7 min read

    When the AI service goes away, the workflow goes with it.

    Four hours without Claude, two without ChatGPT, three and a half without Grok, on one Thursday. GPT-4o retired from ChatGPT on 13 February 2026. Why behavioural dependency is the least visible form of vendor lock-in, and what DORA does with it.

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