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Artificial intelligence has already entered companies. Sometimes through a clear strategy, but much more often through a shortcut.
An employee needs to summarize a contract and pastes it into ChatGPT.
A salesperson wants to improve a proposal and uploads a confidential draft to Claude.
An administrative team asks AI to rewrite an email containing customer data.
A technician copies an internal procedure into a chat to have it explained more clearly.
In most cases, there is no bad intention. There is speed, curiosity and the desire to work better. But the result can be the same: sensitive information leaves the company perimeter without anyone noticing.
This is the new form of shadow AI: the use of artificial intelligence tools that are unauthorized, unmanaged or simply not fully understood by the company.
The problem is not AI, but the data entered into it
ChatGPT, Claude and other AI tools can be extremely useful. They can help write, translate, summarize, analyze documents, generate ideas and speed up everyday tasks.
The point is not to demonize them.
The point is understanding what is being put into them.
It is one thing to ask for help writing a generic text. It is another to upload a client contract, a commercial negotiation, an internal strategy, a non-public price list, a database exported from the CRM or a confidential conversation.
The right question is not only: “Which AI are we using?”
The real question is: “Which company data are we handing over to that tool?”
Because very often, the risk does not come from AI itself. It comes from the simplest habit in the world: copy and paste.
Personal accounts and business tools are not the same thing
One of the most dangerous misconceptions is thinking that “using ChatGPT” or “using Claude” always means the same thing.
It does not.
Using a personal account, perhaps without the right settings, without company control and without internal policies, is very different from using business or enterprise tools configured for a professional environment.
OpenAI states that, by default, it does not use inputs and outputs from its business products, including ChatGPT Business, ChatGPT Enterprise and the API, to train its models. Anthropic states similarly that, by default, it does not use inputs and outputs from its commercial products, such as Claude for Work, the Anthropic API and Claude Gov, to train its models.
But this does not mean that every use is automatically safe.
It means there is an important difference between improvised use and designed use. Business accounts, permissions, settings, data retention, access controls, training and internal rules make the difference.
A data leak can look like normal work
The problem with shadow AI is that it is particularly subtle because it does not look like a cyberattack.
There is not necessarily malware.
There is not always a hacker.
There is not always a security alert.
There is a person doing their job and using an external tool to work faster.
This is exactly what makes the loss of control so quiet.
A confidential document is uploaded to be summarized. An internal email is transformed into a more polished reply. A commercial file is analyzed to extract key points. Everything looks like productivity. But without rules, it can become exposure.
Banning everything does not work
The simplest reaction would be to block every AI tool. But in practice, that often does not work.
People will still use what helps them work better, especially if the company does not provide clear alternatives. If AI saves time, someone will try to use it. Maybe from a personal phone, a private account or an unauthorized service.
The real goal should not be prohibiting AI. It should be making it usable safely.
That means defining which tools can be used, with which accounts, for which activities and with which categories of data. It means explaining what can be entered into an AI chat and what must stay out. It means training people, not just installing software.
An AI policy does not need to be a long bureaucratic document. It needs to be a clear guide to avoid basic mistakes.
AI security is a governance issue
Using artificial intelligence inside a company requires a new form of digital responsibility.
It is not enough to choose the most powerful model. Companies need to understand where data goes, who can access the tools, which information can be processed, which activities must remain internal and which controls are needed.
In many cases, the solution may include business accounts, approved tools, centralized permissions, staff training, data classification, internal procedures and, when necessary, AI solutions integrated into company systems.
The point is not to slow work down. It is to prevent speed from becoming carelessness.
AI can help enormously, but only if it enters the company with method. Otherwise, it risks turning copy and paste into a new surface of risk.
Conclusion
Companies should not be afraid of artificial intelligence. They should be afraid of the casual use of artificial intelligence.
ChatGPT, Claude and similar tools can improve everyday work, reduce wasted time and make many tasks more efficient. But when they are used without rules, they can expose information the company should have protected.
The new data leak does not always come from a sophisticated attack.
Sometimes it comes from a very simple action: select, copy, paste.
And that is exactly why a strategy is needed. Because AI should not be blocked. It should be governed.
I am a Computer Engineering graduate at Politecnico di Torino with a strong interest in photography, computer science, and video editing. In 2021, I founded PRODHERO, specializing in high-quality video and photo content for businesses, shops, and individuals. Later, I expanded into the tech space, delivering web apps, automation, and custom AI solutions through CLOUDYNAMICS. With a focus on both storytelling and technology, we help clients grow their presence and scale their operations. I am passionate about combining creative vision with technical precision to deliver results that actually matter.