AI Insights
Models, agents and platforms, assessed for the people who have to approve and run them.
The technology, assessed for the people who approve and run it: what an AI agent really is, how to evaluate a system before buying it, how assistants overshare and how to stop it, and the security lists every AI owner should know.
Start with the guide: AI governance for managers.
Gartner estimated in mid-2025 that of the thousands of vendors claiming agentic products, only about 130 were real. Here is how a manager tells the difference before signing.
4 min read
A zero-click flaw in a leading assistant showed how retrieval, hidden instructions and an outbound channel add up to data loss. The defenses are architectural.
4 min read
Public benchmarks cannot tell you how a system will handle your documents and your edge cases. A few hundred of your own examples can, and they keep paying for themselves after launch.
4 min read
An assistant that searches your documents will happily show anyone anything it can reach. The fix is not a better model; it is permissions that follow the data.
4 min read
A year ago governments moved within days against a hosted AI app. The lesson for buyers is that “which model” is really three questions, and only one of them is about capability.
4 min read
On December 9 the Linux Foundation launched the Agentic AI Foundation and OWASP published its Top 10 for agentic applications. Together they turn “which systems can the agent reach?” into a question with an answer.
4 min read
The Replit incident of July 2025 is now the reference case for AI agents with write access. Every lesson in it predates AI.
4 min read
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