For us, sovereignty means the strategically managed resilience of the AI supply chain—that is, appropriate and practical resistance to operational and strategic risks. This is why we focus on maximum freedom of choice and vendor independence in our infrastructure. At the same time, cyber defense and strict technology compliance are indispensable cornerstones 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 far more than the question of where your data is stored. It also pertains to how dependent you are on individual providers at the infrastructure level, and how quickly and easily you can switch from one vendor to another. Our technology offers you maximum strategic flexibility at all relevant levels.
Digital sovereignty is far more than the question of where your data is stored. It also pertains to how dependent you are on individual providers at the infrastructure level, and how quickly and easily you can switch from one vendor to another. Our technology offers you maximum strategic flexibility at all relevant levels.
In an era of growing dependence on external components, modules, and models, the security of the software and AI supply chain is becoming a key issue for resilient enterprise IT. A Software Bill of Materials (SBOM) provides urgently needed transparency here: it documents all components of a software or AI system—from open-source libraries and proprietary modules to models and dependencies.
This visibility is the foundation for risk assessment, vulnerability management, and compliance auditing. But an SBOM is just the beginning: In our holistic perspective on Software AI Supply Chain Security, we also incorporate integrity, provenance, license compliance, model cards, and security certificates. This is the only way to reliably secure the increasingly complex digital supply chain—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 requirement. Audit trails provide the structured answer to these needs: they completely record who did what or made changes, and when—from data processing and model decisions to user interactions and interactions with third-party systems.
This structured logging not only enables transparent documentation and complete evidence tracking 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 for fulfilling regulatory requirements, such as those defined by the EU AI Act. Our platform makes auditability an integral part of every workflow—thereby creating the foundation for controllable, trustworthy, and compliant AI systems.
Sensitive data—whether personal, financial, strategic, or of regulatory relevance—requires special protection mechanisms. In modern AI-supported systems, it is not enough to simply encrypt or anonymize data. The decisive factor is who is allowed to access which information, functions, and models, when, and how.
Our granular role and permission concept allows for the precise control of all access and action rights—down to the level of individual functions, data objects, workflows, or system components. For example, the use of certain models, the triggering of security-critical actions, or access to confidential data can be strictly regulated and granted on a context-dependent basis. Through this fine-grained access control, we create a secure foundation for the compliant handling of sensitive information—especially in highly regulated industries such as healthcare, energy, public administration, and finance. At the same time, it ensures that employees and systems are only given the permissions they actually need for their tasks—according to the principle of least privilege.
Thanks to its modular architecture and the loose coupling of all system components, comprehensive security and documentation measures can be anchored at every level 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 our highest priority.
The requirements of the AI Act are met at all relevant levels.
Upon the go-live of the NIS-2 directive, the corresponding measures will be implemented.
We are prepared to assume responsibility in the form of liability.
