Do you know what happens to the data your employees type into public AI chats?
Generative AI has revolutionized the way we work. Writing emails, analyzing reports, or generating code has become faster and easier. However, along with the enthusiasm, a new threat has emerged, which cybersecurity specialists call “Shadow AI”.
Employees, wanting to increase their efficiency, often unknowingly paste sensitive data into consumer-grade 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 public cloud AI.
Why is a public chatbot a business risk?
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 an extreme case, information pasted by your employee could become part of the knowledge the model “spits out” to another user – potentially your competitor.
⚠️ Note: Even in “Enterprise” versions of tech giants, data often still leaves your infrastructure and is processed on servers outside the European Economic Area (usually in the US). For regulated sectors (finance, law, medicine), this is often an insurmountable barrier.
The Safe Alternative: Local Language Models
The solution is to flip the paradigm. Instead of sending data to AI, we bring AI to the data.
At ⭐ PrivatAI.pl, we rely on Open Source models (such as Bielik), 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 (e.g., in Poland) that no one else can access.
In this scenario, the AI model runs completely locally. Not a single byte of data is sent to external API providers. You have 100% control over what happens to your information.
Talk to Your Documents (RAG)
However, the greatest value for companies isn’t just chatting with a “bot,” but the ability to interact with their own knowledge base. Thanks to 🚀 RAG (Retrieval-Augmented Generation) technology, we create a system that allows employees to ask questions about internal regulations, contracts, technical documentation, or financial reports.
How does it work securely?
- You upload documents (PDF, DOCX, TXT) to a secure resource.
- The system converts them into vectors (indexing) locally.
- When you ask a question, the AI searches your database, finds relevant fragments, and generates an answer based on them.
All of this happens without the need to send files to external clouds. It is the ideal solution for onboarding new employees, contract analysis, or quickly searching for information across thousands of pages of documentation.
✨ Key Benefits of Implementing PrivatAI.pl
- 🛡️ Security and Compliance: Full compliance with GDPR. Data never leaves your control.
- 🎯 No Hallucinations on Company Facts: The model relies on the documents you provide, citing the source for every answer.
- 💰 Predictable Costs: You don’t pay for every “token” or query. You invest in a low subscription, which you use without limits.
Summary
You don’t have to choose between innovation and security. Using a private language model is a step towards 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 will show you that an alternative to public models can be not only safer but also better tailored to your needs.