Shadow AI is the use of artificial intelligence tools or systems within an organisation without the knowledge, approval or oversight of the people responsible for governing that use. It is ungoverned by definition, even when an employee’s purpose is legitimate or the tool appears low risk.

Examples include staff entering work information into a public chatbot, using an unapproved AI transcription service, or connecting a model to company files without review. The tool may be free, embedded in another product or accessed through a personal account, so conventional procurement records can miss it. The exposure depends on what information is shared, what the system does with it and how its output is used.

Why it matters

Unseen use can expose confidential, personal or regulated information to a provider under unclear terms. It may also introduce inaccurate outputs into decisions, reproduce bias, breach copyright or record data in places the organisation cannot audit. If an AI tool is used for a consequential task, nobody may have checked whether it is suitable or assigned responsibility for its effects.

A blanket ban rarely resolves the underlying demand. People may continue using tools quietly if approved options are unavailable, slow or difficult to understand. An effective response makes safe routes practical, explains what information must not be entered into unapproved services and gives staff a way to ask for a tool to be assessed.

Surface use before deciding what to do

Organisations can combine several discovery methods: review software procurement and expense records, consult IT and security teams, survey staff, assess browser and network signals where lawful, and ask business units to identify tasks where AI is already helping. The aim is to understand use and data flows, not to assume that every user is acting recklessly.

For each identified use, record the tool, purpose, users, data involved, decision impact and any external connections. Then classify the exposure and choose a response: stop a harmful use, move it to an approved service, add safeguards, or approve it with clear limits and an owner. Keep a channel open for reporting new use, because tools and features change quickly.

Once the organisation understands the pattern, governance can close practical gaps through approved tool lists, training, procurement review and technical controls. Recheck these measures as products add AI features and work practices change. Shadow AI is not just a technology inventory issue; it is a sign that actual behaviour and formal governance may have drifted apart.