AI Security: Protecting Your Company's Data

The massive adoption of AI tools in business raises fundamental security questions. How do you use ChatGPT, Claude, or Gemini without risking leaks of confidential data?

Risks to know: When you submit data to an LLM, that information may be used for model training. Client contracts, source code, and business strategies should never be entered directly.

Enterprise-grade solutions: Opt for enterprise versions (ChatGPT Enterprise, Claude for Work) that guarantee non-use of data for training. Some also offer end-to-end encryption.

On-premise deployment: For highly sensitive data, solutions like LLaMA 3 or Mistral can be deployed on your own servers, ensuring data never leaves your infrastructure.

Internal policies: Develop an AI usage charter for your employees. Clearly define what data can or cannot be shared with external tools.

To audit the security of your current AI tools, use our Trust Ranking. Swiss companies can consult IAPME Switzerland for AI compliance support. The AI Hub also offers resources on securing AI pipelines.