What is Shadow AI?
Shadow AI is the use of artificial intelligence tools by employees without the company's knowledge or approval. These are chatbots, assistants and AI features adopted on their own, often in personal accounts, that process corporate data outside any policy, control or visibility from leadership and IT.
How Shadow AI takes root in a company
No one decides to create shadow AI. It starts from the good intention of working faster, one employee at a time, and grows without the company noticing. The path usually goes like this:
The tool solves it instantly
An employee pastes a report into a public chatbot to summarize, translate or review it. It worked, it saved time, and it became a habit.
Use spreads by word of mouth
They show the team. Each person creates their own account, on personal email, without going through IT. Use becomes collective, but invisible.
Data leaves the company's control
Every pasted text may contain client data, a contract or code. In personal, free accounts, that content can be retained and used to train third-party models.
No one can say who uses what
When leadership asks which AIs we use and with what data, there is no answer. It is this visibility vacuum that defines shadow AI.
Source: Cost of a Data Breach 2025 report (IBM) and studies of AI use at work (Microsoft, Work Trend Index).
Signs that Shadow AI already exists in your company
- You do not have a list of which AI tools the company uses, or in which departments.
- There is no written policy on what can and cannot be pasted into an AI.
- Access to AI tools is through personal accounts, not managed corporate accounts.
- AI features appear built into software the company already uses, on by default, with no one having assessed them.
- No one in the company is responsible for approving or vetoing a new AI tool.
Where Shadow AI hides
- Public chatbots and assistants Conversational tools accessed through the browser, on personal accounts, to write, summarize and analyze. The most common form and the hardest to see.
- AI features built into software AI functions already turned on inside work programs (spreadsheets, email, CRM). Data is processed by AI without anyone having decided it.
- Browser extensions Add-ons that promise productivity and read the content of the screen, tabs and forms, including sensitive data.
- Code assistants for developers Tools that speed up programming, but can send snippets of proprietary code and secrets outside the company.
- Agents that take actions Assistants that not only answer but act with the user's access: they read, send and trigger tasks on their behalf.
Why Shadow AI is costly to the business
The problem is not AI, it is AI without governance. When company data enters a tool leadership cannot see, three things happen at once: business secrets can leak, compliance with data protection laws (such as LGPD and GDPR) is left unproven, and the attack surface grows off the record. The numbers confirm the cost: one in five breached companies had shadow AI involved, which adds an average of $ 670K to the damage (IBM, Cost of a Data Breach 2025). And it is not rare: most people who use AI at work bring their own tool, outside IT's approval (Microsoft, Work Trend Index 2025). Ignoring shadow AI does not eliminate it, it only guarantees the company is the last to know where the risk is.
How to bring Shadow AI into the light
The answer to shadow AI is not to ban AI, it is to govern it. Banning pushes use even further into the shadows. The path that works has four steps:
- Discover the real usageBefore any policy, see the true picture: which AI tools each department uses today, by name, including the unapproved ones.
- Write an AI use policyWhat is allowed, what kind of data can never be pasted, who approves a new tool. Clear rules people can follow.
- Migrate to managed corporate accountsSwap personal accounts for company accounts that do not train on your data and have controlled retention. The same productivity gain, without exposing the data.
- Monitor continuouslyNew tools appear every week. Discovery must be recurring, not a single snapshot that ages in a month.
In practice
Ask your team today: which AI tools do you use and what have you already pasted into them? The answer usually surprises leadership, and that blind spot is exactly what governance closes.
How Zamak handles Shadow AI
Zamak Technologies starts with visibility: an AI exposure diagnostic reveals which tools each department really uses and where data is leaving, without judgment and without blocking work. From there, it structures AI use governance alongside the internal team, with policy, an approved-tools catalog and migration to managed accounts. It is part of Governance and Compliance in the Zamak Method.