Using AI without losing control
Using artificial intelligence means sharing information and relying on models and infrastructure that often belong to third parties. If these elements are not properly managed, an organisation can lose visibility over where its data is or how it is used.
At LurNova we see sovereignty as the ability to decide how to use AI and to keep control over data, models and infrastructure.
Compliance adds another dimension: being able to govern that use properly. Knowing which systems are used, what information they work with, who can access them and what mechanisms exist to oversee them and keep them traceable.
Both are part of how we approach AI: they are essential for organisations to move forward with this technology without losing control and with a clear framework for using it responsibly.
What should an organisation keep control over?
Adopting AI involves decisions that affect information, models, infrastructure, access and oversight. Keeping control over these elements makes it possible to define how the technology is used and under what conditions.
What information can AI use?
AI can work with internal documentation, corporate knowledge or sensitive information. That is why it is important to define which information each solution can use, how it can process it and in which cases it can be shared with external services.
This makes it possible to set different levels of protection depending on the type of information and how it is used.
Which models can it use?
Each case may require a different model depending on the task, the information it needs to process and the security or performance requirements.
Being able to work with both private models and external services makes it possible to choose the most suitable option for each need and reduce dependence on a single model or provider.
Where is the information processed?
AI can run on in-house infrastructure, dedicated environments, cloud services or hybrid architectures. Choosing where each solution runs also means deciding where the information is processed.
In this way, cases that work with more sensitive information can stay in controlled environments, while others can use external services where appropriate.
Who can access it and what can they do?
Not everyone needs to use the same tools or access the same information. It is possible to set permissions by user, team, role and responsibility.
In this way, the organisation can define who accesses each solution, what information they can work with and which actions they are authorised to take.
How is the use of AI overseen?
Keeping control also means having visibility once AI is up and running. Traceability and monitoring make it possible to log activity, see which models are used and analyse how they perform and what they consume.
This information supports oversight, helps detect incidents and provides a basis for making decisions about how the use of AI evolves within the organisation.
Using AI also brings new responsibilities
European artificial intelligence regulation sets out responsibilities for organisations that develop or use AI systems. These obligations depend on the type of system, how it is used and the role of each organisation.
That is why compliance requires knowing how AI is used, identifying the associated risks and putting in place the control and oversight measures appropriate to each case.
Technology can support this process, but it does not replace the legal, organisational and risk-management measures that each organisation is responsible for.
Control is built into our technology
Our technology is designed so that the organisation can manage how it adopts and uses AI without being tied to a single way of doing so.
LurNova MIA provides a corporate environment for using AI and accessing the organisation's knowledge, managing users, permissions and capabilities from a common environment.
Discover LurNova MIALurNova AI Model Hub lets you work with different models, both private ones and third-party services, and manage their use from a common layer. This makes it easier to add new options as technology evolves and reduces dependence on a single model or provider.
Discover LurNova AI Model Hub
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Frequently asked questions
What does it mean to have sovereignty over artificial intelligence?+
It means that the organisation retains the ability to decide how it uses AI, what information can be processed, which models it uses and under what conditions.
Sovereignty does not mean isolation, but retaining control and freedom of choice.
Do you need private models to stay in control?+
Not always. It depends on the use case and the information involved.
Some applications may require models running in private environments, while others can use external services. Both options can coexist within the same architecture.
Can commercial models be used without sharing sensitive information?+
Not with any guarantees. If information is sent to an external service, the organisation no longer has direct control over how it is processed.
That is why sensitive information should be kept in private or controlled environments, using external services only where appropriate.
How do you control who can use AI?+
Through users, permissions and access policies that determine who can use each solution, what information they can access and which capabilities are available to them.
In this way, AI can be brought within the organisation's own security and access criteria.
What does traceability add to an AI solution?+
It provides visibility over how AI is being used and the information needed to oversee how it works.
This makes it easier to track activity, analyse incidents and keep greater control over the solutions deployed.
Does using LurNova's technology guarantee compliance with the EU AI Act?+
No. Technology alone does not guarantee compliance.
LurNova provides control, traceability and oversight mechanisms that can support it, but compliance also requires the legal, organisational and risk-management measures appropriate to each organisation.
Do all organisations have the same obligations under the EU AI Act?+
No. Obligations depend on the AI system, how it is used and the role each organisation plays.
That is why each case must be analysed to determine which requirements and measures apply.
How can an organisation start preparing for the EU AI Act?+
A first step is to identify which AI systems it uses, what they are used for and what risks and responsibilities they may involve.
LurNova's EU AI Act assessment provides an initial evaluation of the situation, identifies possible areas for improvement and helps guide the next steps.
Security starts with making the right decisions
Every AI project raises different questions, and there is not always a single way to answer them. Our job is to help find the approach that best fits the needs and requirements of each organisation and turn it into a viable solution. Tell us what you want to launch and let's work out together the best way to do it.