The use of large language models (LLMs) offers enormous opportunities for companies, but is also associated with considerable challenges, especially when it comes to processing sensitive data (financial or project data, personal data, etc.). This is because traditional LLMs are susceptible to manipulation and data leaks. One way to counteract these risks is to operate in a highly secure, sovereign cloud.

Challenges for sensitive data when using LLMs

Although LLMs are powerful tools, they harbour risks that should not be neglected, especially when processing sensitive information.

Typical challenges include:
- Unauthorised access to training data or models
- Model manipulation (directly or through manipulation of training data)