Do you know what happens to the data your employees enter into publicly available AI chats?
Generative artificial intelligence has revolutionized the way we work. Writing emails, analyzing reports, or generating code has become faster and easier. However, with this enthusiasm comes a new threat that cybersecurity experts call "Shadow AI".
Employees, wanting to increase their efficiency, often unknowingly paste sensitive data into public tools: sales strategies, source code fragments, or customer personal data. For many companies, the question is no longer "whether to use AI?" but "how to use AI safely?".
The answer is a private alternative to the public AI cloud.
Why is a public chatbot a risk for business?
The main problem with popular, free or cheap cloud solutions is their training model. In many cases, data entered by users can be used to further train the model (RLHF). This means that in the extreme case, information pasted by your employee could become part of the knowledge that the model "spits out" to another user – perhaps your competition.
⚠️ Warning: Even in the "Enterprise" versions of tech giants, data still leaves your infrastructure and is processed on servers outside the European Economic Area (most often in the USA). For regulated sectors (finance, law, medicine), this is often an insurmountable barrier.
A Safe Alternative: Local Language Models
The solution is to reverse the paradigm. Instead of sending data to AI, we bring AI to the data.
At ⭐ aikeep.io, we rely on Open Source models (such as Mistral Small 3.2), which we deploy in an isolated environment (models without internet access). This can be:
- 🏢 On-premise: A physical server at the company's headquarters (very high purchase and maintenance cost).
- ☁️ Private Cloud: A dedicated, private cloud in the EU, to which no one else has access.
In such a scenario, the AI model operates entirely locally. No byte of data is sent to external API providers. You have 100% control over what happens to your information.
Talk to Your Documents (RAG)
The greatest value for companies is not the conversation with the "chatbot" itself, but the ability to interact with your own knowledge base. Thanks to the 🚀 RAG (Retrieval-Augmented Generation) technique, we create a system that allows employees to ask questions about internal regulations, contracts, technical documentation, or financial reports.
How does it work in a secure version?
- You upload documents (PDF, DOCX, TXT) to a secure resource.
- The system converts them into vectors (indexes) locally.
- When you ask a question, AI searches your database, finds the relevant fragments, and generates an answer based on them.
All of this happens without the need to send files to external clouds. This is the ideal solution for onboarding new employees, analyzing contracts, or quickly searching for information in thousands of pages of documentation.
✨ Key Benefits of Implementing aikeep.io
- 🛡️ Security and Compliance: Full compliance with GDPR. Your data never leaves your control.
- 🎯 No hallucinations about company facts: The model relies on documents you provide, citing the source of each answer.
- 💰 Predictable costs: You don’t pay for every "token" or query. You invest in a low subscription with no limits.
Summary
You don’t have to choose between innovation and security. Using a private language model is a step toward a modern company that consciously manages its intellectual capital.
If you want to test how secure AI can work on your data, contact us. We’ll show you that an alternative to public models can be not only safer but also more tailored to your needs.