Scams, fraud & cyber defence — explained
Field notes from our work: how modern scams operate, what the threat data is telling us, and practical steps to protect your people and your business.
The AI threat landscape is changing by the week, not the year
Attack tools that took skilled teams months to build are now a monthly subscription. Here is what is accelerating so fast, why the old “annual review” mindset no longer keeps up, and how to defend at the new pace.
Read more →Agentic AI: when attacks start running themselves
The next shift is not smarter phishing — it is AI that can plan and act on its own. Here is what “agentic” attacks look like, why they scale so dangerously, and what defenders should do before they arrive at the front door.
Read more →The hidden security risks of AI tools at work
Your team is already using AI. Here is how sensitive data leaks into chatbots, what “shadow AI” and prompt injection actually mean, and a simple policy that keeps you safe without banning the tools.
Read more →AI is supercharging scams — and what actually stops them
Voice clones, deepfakes, and flawless phishing emails have erased the old giveaways. Here is what has really changed, and the human habits that still beat AI-powered fraud.
Read more →Deepfake voice scams: a 30-second family safety plan
A cloned voice needs only a few seconds of audio. The best defence costs nothing and takes half a minute — set up a family safe word tonight.
Read more →Adopting AI without a plan is a risk in itself: why every organisation needs a clear vision, task, and purpose
The biggest AI mistake most organisations make is not choosing the wrong tool — it is adopting AI with no clear purpose at all. Here is why a defined vision, a specific task, and an owner matter more than the model you pick.
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