A secure architecture for using AI models
Using artificial intelligence models opens up new possibilities, but it also raises new challenges. You need to control how they are used, what information they process and under what conditions.
LurNova AI Model Hub provides a common architecture for deploying private AI models, managing external models and making it easier to integrate them with applications and agents.
It centralises security, governance, traceability and usage control, giving organisations a common infrastructure for adopting and using AI models in a secure, controlled way.
This way, the organisation can expand its use of AI without multiplying integrations or adding management complexity.
A different model for every need
Not all models offer the same capabilities, and not all use cases have the same requirements. The task, the sensitivity of the information, performance, availability or cost can determine which option is most suitable at any given time.
LurNova AI Model Hub makes it possible to work with private models and external services from different providers from a single architecture. Applications access them through a common layer, without the need to maintain a separate integration with each model.
Requests can be routed to different options according to the criteria set by the organisation, making it possible to choose the most suitable model for each case without changing the application that uses it.
Control does not end with choosing the model
LurNova AI Model Hub lets you define how AI can be used within the organisation: who can access it, which models are authorised and which controls must be applied to each interaction.
Requests and responses can go through filtering, validation and protection mechanisms, which are especially relevant when external models are used. At the same time, activity is logged to provide traceability and support oversight of AI use.
The organisation can see which models are used, from which applications and with what usage, as well as monitor their performance and set quotas or usage limits.
Ready to change when the models change
Applications should not have to be rebuilt every time the technology they use changes. That is why LurNova AI Model Hub separates applications from the specific models behind them.
This makes it easier to add new options, switch provider or deploy new private models without necessarily having to modify existing applications.
The same architecture can serve corporate applications, assistants, agents, automations, MIA and bespoke solutions, providing a common foundation for extending the use of AI across the organisation.
Get your architecture ready to work with different AI models
Every organisation has specific needs when it comes to AI models, infrastructure and usage policies. Let's talk about what you want to launch and how to do it on a secure architecture that is ready to evolve.