Opinion 1 – 9 of 12
The boundary is the thing you can draw
Why judging each request is the wrong shape, and what to do instead.
Model access is a supply chain
Your model provider now has a regulator, which makes it a supplier like any other.
Confidence percentages are theater
A number next to an answer feels like evidence, and almost never is.
Approval is not oversight
A permission prompt is a queue people learn to clear, not a control.
Ask what happens to your documents, not the model
One question separates vendors here, and it is not about intelligence: does our content pass through your system unchanged?
Capability is not intent
The first documented AI containment breach was not malice. It was a model doing exactly what it was asked, in a way nobody intended. That distinction should change how you think about the agent talking to your customers.
Your AI agent's three powers: data, web, memory. Pick two.
In one July week, a researcher exfiltrated user data through Claude's web fetch tool and xAI's coding agent was caught uploading entire repositories. Here is the pattern behind both incidents, and the checklist that catches it before you sign.
Shadow AI is already answering your customers
Wire's 2026 collaboration survey put numbers on a habit every support leader recognizes: when the sanctioned tool is slow, people reach for the consumer one. The same is now happening with AI, with customer data in the prompt. Here is why bans fail and what works instead.
An EU region is not a data boundary
The vendor questionnaire has a comforting checkbox: EU data residency. Here is why that checkbox proves far less than it seems to, and the questions that actually decide whether your data stays under your control.