For us, sovereignty means the resilience of the AI supply chain – that is, resistance to operational and strategic risks. That’s why we focus on maximum freedom of choice and vendor independence in infrastructure. At the same time, cyber defense and strict technology compliance are indispensable foundations for us.
For us, sovereignty means the resilience of the AI supply chain — that is, ensuring resilience against various operational and strategic risks. For this reason, we consistently focus on maximum freedom of choice and vendor independence at the infrastructure level. At the same time, the topics of cyber defense (i.e., comprehensive protection against cyber attacks) and full compliance with legal and regulatory requirements (i.e., strict technology compliance) have become non-negotiable necessities.
In a world where data and digital knowledge are becoming the heart of modern organizations, strategic flexibility is no longer an option, but an essential necessity. Moreover, compliance with legal and regulatory requirements when using AI technology in everyday business operations is mandatory. In both dimensions, we set standards in Europe with our technology.
Digital sovereignty is much more than the question of where your data is stored. It also relates to how dependent you are on individual providers at the infrastructure level, or how quickly and easily you can switch from one provider to another. Our technology offers you maximum strategic flexibility at all relevant levels.
Digital sovereignty is much more than the question of where your data is stored. It also relates to how dependent you are on individual providers at the infrastructure level, or how quickly and easily you can switch from one provider to another. Our technology offers you maximum strategic flexibility at all relevant levels.
In an era of growing dependencies on external components, modules, and models, the security of the software and AI supply chain becomes a key issue for resilient enterprise IT. A Software Bill of Materials (SBOM) creates urgently needed transparency here: It documents all components of a software or AI system – from open-source libraries to proprietary modules to models and dependencies.
This visibility is the foundation for risk assessment, vulnerability management, and compliance checks. But SBOM is just the beginning: In our holistic perspective on Software AI Supply Chain Security, we also consider integrity, provenance, license compliance, model cards, and security certificates. Only in this way can the increasingly complex digital supply chain be reliably secured – especially in the context of GenAI and agentic systems.
In regulated industries and safety-critical applications, the traceability of decisions, data flows, and system behavior is not an option, but a duty. Audit trails provide the structured answer to these requirements: They comprehensively record who did or changed what and when – from data processing to model decisions to user interactions and interaction with third-party systems.
This structured logging not only enables transparent documentation and seamless proof, but also forms the basis for reproducibility, internal quality assurance, and legally compliant governance. Especially in the context of AI-supported processes and dynamic automations, reliable audit trails are crucial to meet regulatory requirements, such as those defined by the EU AI Act. Our platform makes auditability an integral part of every workflow – thereby creating the prerequisite for controllable, trustworthy, and legally compliant AI systems.
Sensitive data – whether personal, financial, strategic, or regulatory – require special protection mechanisms. In modern AI-supported systems, it is not sufficient to only encrypt or anonymize data. What is crucial is who is allowed to access which information, functions, and models, when, and how.
Our granular role and rights concept enables precise control of all access and action rights – down to the level of individual functions, data objects, workflows, or system components. This allows for strict regulation and context-dependent release of the use of certain models, the triggering of security-critical actions, or access to confidential data. Through this finely graduated access control, we create a secure foundation for the legally compliant handling of sensitive information – especially in highly regulated industries such as healthcare, energy, administration, and finance. At the same time, it ensures that employees and systems only receive the freedoms they actually need for their tasks – according to the principle of minimal rights allocation (Least Privilege).
Thanks to the modular structure and the so-called ‘loose coupling’ of all system components, comprehensive protection and documentation measures can be anchored at all levels in accordance with the latest best practices. Enterprise features such as SSO, LDAP integration and an end-to-end audit log embed the technology in corporate governance frameworks, processes and structures.
The protection of personal and other sensitive data is a top priority.
The requirements of the AI Act are met at all relevant levels.
With the go-live of the NIS-2 directive, corresponding measures will be anchored.
We are prepared to assume responsibility in the form of liability.
