Imagine the situation: Your programmer is stuck on a complicated piece of code. Time pressure is rising. What do they do? They copy 50 lines of your application's proprietary source code and paste it into a public AI chat with the note: "Find the error and optimize".
Within 10 seconds, they get the correct answer. Problem solved, right? No. You just caused an uncontrolled leak of your company's intellectual property.
Samsung's loud lesson
The risk is not theoretical. The most notorious example in the industry was the situation in Samsung's semiconductor department. Employees, wanting to improve their work, unintentionally disclosed secret data three times in one month:
- The source code of software for measuring chip performance was pasted to fix it.
- Records from confidential board meetings were sent, asking AI to create a summary (minutes).
As a result, this data ended up on external servers. Although the employees' intentions were good (the desire to be more efficient), the consequences could have been catastrophic. Samsung had to immediately ban the use of public AI.
What most often leaks through "Shadow AI"?
Employees treat the chat window like a trusted assistant, forgetting that on the other side is the public cloud. The most frequently leaked data includes:
- Customer databases: "Write a personalized email to these 50 clients: [list with names, surnames, and emails]" – this is an immediate GDPR violation.
- Financial data: Pasting raw data from Excel to analyze sales trends.
- Strategy and HR: "Help me write a termination letter for employee X due to Y" or "Evaluate this draft strategy for entering the German market".
Leak mechanism: Where do these data go?
By using free or standard versions of public language models, you accept terms that often state: "We may use your content to improve our services".
This means that your unique know-how, pasted into the chat today, becomes part of the training set. There is a risk that in the future, the model, asked by your competition about a similar problem, will use fragments of your solution in the generated answer.
Remember: Even if the AI provider promises not to train models on API data, they still process it on servers outside the European Economic Area (e.g., in the USA). Under European regulations (GDPR), this often means a lack of control over the data processing chain.
How to defend yourself? Blocking is not the solution.
Banning employees from using AI is fighting windmills. People will find a way to use tools that make their work easier (e.g., on personal phones), which only deepens the "Shadow AI" problem.
The only effective solution is providing a secure alternative.
By implementing the aikeep.io solution (a local instance of the language model):
- You give employees a tool with the capabilities of the most popular AI systems.
- You keep data within the company network (On-premise or Private Cloud).
- You are sure that pasted code or contracts will never be used to train a public model.
Protect your knowledge from leaks
Don't wait for the first incident. Build an AI infrastructure that protects your trade secrets instead of exposing them. The solution is aikeep.io - everything stays local (your company - encrypted data transfer tunnel - aikeep.io server)