Strategy
How to secure your use of artificial intelligence
You already use AI daily: learn how to do so safely and without risking your data. Our practical tips for controlled AI.

Artificial intelligence is a powerful asset… provided you remain in control of your data.
Artificial intelligence has established itself in our professional daily lives. It accelerates our tasks, summarizes our documents, and answers our customers, but often at a risk: the loss of control over our data.
In recent years, the speed of adoption of AI tools has sometimes overshadowed an essential question: where does our information go? And above all, who exploits it?
At AmenityDev, we help companies keep control of their data while fully benefiting from the power of AI. Our experts guide management through a clear framework and concrete solutions for effective, ethical, and sovereign AI.
Artificial intelligence has established itself in our professional daily lives. It accelerates our tasks, summarizes our documents, and answers our customers, but often at a risk: the loss of control over our data.
In recent years, the speed of adoption of AI tools has sometimes overshadowed an essential question: where does our information go? And above all, who exploits it?
At AmenityDev, we help companies keep control of their data while fully benefiting from the power of AI. Our experts guide management through a clear framework and concrete solutions for effective, ethical, and sovereign AI.
1. Map your AI usage
Before securing, you must understand.
Start by mapping your AI tools and dependencies: assistants used, connected applications, external APIs, intelligent office tools, etc.
This overview allows you to:
A good practice is to classify your data by sensitivity: public, internal, confidential, critical.
Never let confidential files transit to an AI tool where you do not control the storage and processing location.
Start by mapping your AI tools and dependencies: assistants used, connected applications, external APIs, intelligent office tools, etc.
This overview allows you to:
- 1. identify sensitive data flows,
- 2. measure risks related to external providers,
- 3. and identify where security improvements will have the most impact.
A good practice is to classify your data by sensitivity: public, internal, confidential, critical.
Never let confidential files transit to an AI tool where you do not control the storage and processing location.
2. Adopt good practices daily
Here are the 5 essential rules for using AI safely and effectively in business:
By applying these principles, you secure your data, gain the trust of your teams, and get the best out of artificial intelligence daily.
- 1. Always verify the origin and reliability of tools before integrating them into your processes.
- 2. Keep your sensitive data (clients, contracts, finances) on internal or sovereign environments.
- 3. Favor solutions hosted in Switzerland or the EU, compliant with FADP and GDPR.
- 4. Implement a clear human validation policy before any automated sending or decision.
- 5. Regularly train your teams to ensure controlled and responsible AI adoption.
By applying these principles, you secure your data, gain the trust of your teams, and get the best out of artificial intelligence daily.
3. Choose a sovereign and controlled AI infrastructure
The safest way to keep control over your data is to host and process your models directly in your internal infrastructures.
This approach guarantees total control of access, storage, and regulatory compliance. It also allows integrating your AI models into an environment already secured by your internal policies.
AmenityDev supports you in setting up on-premise AI architectures:
You thus benefit from total sovereignty, without dependence on an external cloud.
This approach guarantees total control of access, storage, and regulatory compliance. It also allows integrating your AI models into an environment already secured by your internal policies.
AmenityDev supports you in setting up on-premise AI architectures:
- 1. Installation and configuration of dedicated GPU servers,
- 2. Deployment of open source models (LLM, embeddings, graphs),
- 3. Local maintenance and supervision for complete control.
You thus benefit from total sovereignty, without dependence on an external cloud.
When internal hosting is not feasible, prioritize providers located in Switzerland or the European Union.
Your data remains protected, processed only on servers located in reliable and transparent jurisdictions.
Your data remains protected, processed only on servers located in reliable and transparent jurisdictions.
4. Raise awareness and train your teams
Security does not depend only on technology, but also on the people who use it.
Training your teams is the best protection against human errors.
Employees must understand:
The AmenityDev Academy offers trainings adapted to all levels, from discovery to AI expertise, to establish a responsible data culture.
🎓 Make security a collective reflex, not a technical constraint.
Training your teams is the best protection against human errors.
Employees must understand:
- - what they can or cannot transmit to a model,
- - how to identify a leak risk,
- - and how to use AI as a reliable daily tool.
The AmenityDev Academy offers trainings adapted to all levels, from discovery to AI expertise, to establish a responsible data culture.
🎓 Make security a collective reflex, not a technical constraint.
5. Opt for configurable and sovereign solutions
At AmenityDev, we design solutions capable of adapting to your technical environment and confidentiality requirements. You decide where your models are hosted: in your internal servers, a Swiss datacenter, or a European cloud compliant with FADP/GDPR and which artificial intelligences are allowed to access them.
This flexibility guarantees smooth integration into your existing tools, without dependence on a single provider and without uncontrolled data transfer.
Take the example of SmartBots:
🤖 With SmartBots, you keep control over every aspect: technology, hosting, and data. An AI truly at the service of your business, high-performing, sovereign, and sustainable.
This flexibility guarantees smooth integration into your existing tools, without dependence on a single provider and without uncontrolled data transfer.
Take the example of SmartBots:
- - It can be linked to your own infrastructure or sovereign hosting,
- - You keep the freedom to choose, combine, or replace the AI models used, without depending on a single supplier,
- - The processing, access, and storage rules are entirely customizable according to your internal policies.
🤖 With SmartBots, you keep control over every aspect: technology, hosting, and data. An AI truly at the service of your business, high-performing, sovereign, and sustainable.
In conclusion
Securing the use of artificial intelligence is not a constraint, it is a condition of trust. Companies that take the time to understand, map, and master their data build a more reliable, efficient, and sustainable environment.
Implementing responsible practices, hosting models in safe environments, and training teams guarantees lasting innovation. Security does not hinder progress: it is its foundation.
Implementing responsible practices, hosting models in safe environments, and training teams guarantees lasting innovation. Security does not hinder progress: it is its foundation.


