Insights
Practical notes on AI security.
Short reads for the people deciding how to build, buy and test AI systems. Plain language, no hype.
Prompt injection, explained for decision makers
Why AI assistants can be talked into doing the wrong thing, why connecting them to your data raises the stakes, and what testing can and cannot tell you.
ReadBlack, grey or white box: choosing the depth of an AI security test
More access buys deeper findings. A practical guide to the three testing depths, what each one finds best, and how to choose.
ReadWhy we never certify our own work
We build AI and we test AI. The two share skills but never share a verdict. Here is why that rule exists, and what it means for clients.
ReadNext step
Discuss your requirements.
Tell us what you want to build, or which AI system you need tested. We will tell you honestly whether we can do it well.
Talk to us
A scoping conversation first. Nothing starts until scope and limits are agreed in writing.