Local AI & private LLM: AI within your own environment
Local AI and a private LLM run AI within your own server or private cloud, with greater control over data, privacy and costs.
Local AI means that AI models are not fully dependent on external cloud services, but run on your own hardware, an internal server or private cloud. This gives greater control over data, privacy, costs and dependency — important when handling confidential documents, customer data or audit information.
Benefits and applications
- Greater control over sensitive data and logging.
- Less dependency on external platforms.
- The option of offline use.
- Internal knowledge base, document analysis, support and audit preparation.
What should you watch out for?
Local AI requires hardware, management and clear security: data classification, access rights, model version control and monitoring. We help determine whether cloud, local or a hybrid approach is the right fit, and align it with your information security.
NIST AI Risk Management Framework (official source).
Frequently asked questions
Short, direct answers — written for people and for AI search functions alike.
Local AI is particularly worthwhile if you work with sensitive documents, customer data, technical information or audit information and want to keep more control over it. For general, non-sensitive tasks, cloud AI can be faster and simpler. Often a hybrid approach is the best choice.
Yes, some models can run locally or offline, depending on the hardware, the model size and the desired performance. Smaller or quantised models run on modest hardware; larger models require more computing power, such as a GPU.
Local AI is about where the model runs (within your own environment). A private LLM is about how it is set up: specifically for your organisation, with protected sources. They are often combined: a private LLM running locally or in a private cloud.
Want to know whether you are audit-ready?
Schedule a no-obligation audit scan and find out, in a single conversation, where you stand and what the next step is.
