Digital sovereignty: Why companies must not ignore the cost of dependency

Digital sovereignty is a concept that is not yet fully implemented in many companies – and this has consequences. The heise+ article points out that reliance on external technologies, especially in AI systems, can lead to significant risks. The lack of implementation of digital sovereignty is seen not only as a technical problem, but also as an economic burden that cannot be ignored in the long run. Companies that do not keep their data and processes in their own hands risk not only losses due to security gaps, but also the loss of control over their business processes and data flows.

The use of AI in practice shows that it already plays a central role in many areas. For example, the state of NRW uses an AI system to filter relevant traces for investigations from huge mountains of data. At the same time, it describes how authorities use AI to speed up the evaluation of investigation documents. These examples underline that AI plays a central role in practice – not only in the fight against crime, but also in the business world. Companies that use AI must therefore be aware that they can not only gain efficiency, but also create a dependence on external systems.

Microsoft Copilot is used in companies to optimize workflows and integrate AI applications into processes. This example shows how AI can be used in practice – but also how important it is to retain control over your own data and systems. Dependence on third parties may offer short-term benefits, but in the long term it leads to risks that are not always quantifiable. Companies that do not implement digital sovereignty risk not only financial losses, but also the losses of self-determination and security.

Digital sovereignty means that companies keep their data, processes and systems in their own hands. This is not only a technical but also a strategic decision. The self-hosting of systems, compliance with data protection standards such as GDPR and the integration of AI technologies into their own system are key elements that help reduce dependence on external providers. Integrating AI into its own system allows companies to optimize their processes without losing control over the data and systems.

## What this means for users AI integration and self-hosting in xynap enable users to ensure digital sovereignty without relying on external providers.