Shadow AI
What is Shadow AI?
AI tools employees use for work without the organisation's knowledge or approval, like pasting company data into a public chatbot. It is common, and it quietly exposes the business to data leaks and compliance gaps. IBM's 2025 breach research put the added cost of a shadow-AI incident at around $670,000. Get visibility first, then set the rules.
Why it matters
Shadow AI is a symptom before it is a security problem, and treating only the symptom makes it worse. People reach for unapproved tools for a plain reason. The sanctioned option is slower, clumsier or simply missing, and there is work to finish today. Ban the tools outright and the use does not stop. It moves further out of sight, onto personal accounts and phones where nobody can see it at all. The uncomfortable reading is that heavy shadow use is feedback. It usually means the official provision is not good enough, and the durable answer is to make the approved path the easy one.
In practice
An analyst pastes figures into a personal chatbot account because the company tool is locked down to the point of being useless for the actual job. Blocking the site just pushes the habit onto a home laptop. Teams that get this under control tend to start by asking what people reach for and why, then provide a sanctioned tool good enough that the workaround loses its appeal.
