Trust has become the central currency of digitalization. In the defense industry, security authorities and highly regulated sectors, it is not just the performance of AI systems that determines their use, but also their ethical, legal and political acceptability. While US platforms such as Palantir Foundry dominate data-driven decision-making processes, the need for sovereign alternatives is growing in Europe. Solutions are required that ensure transparency, explainability and full data sovereignty. itemis ANALYZE is positioning itself precisely here: as a European governance layer for responsible, explainable and auditable AI-supported data ecosystems.

The challenge: data power, ethics and sovereignty

The use of powerful data platforms raises questions that go far beyond technology:

• Ethics & human rights: automated decision support must not establish non-transparent surveillance logics.
• Geopolitical dependencies: US software is subject to non-European jurisdictions and political interests.
• Black box risks: Lack of traceability undermines democratic control and liability security.

Particularly in state and security-critical contexts, explainable governance is not an option, but a prerequisite.

Paradigm shift: governance instead of a data monolith

While traditional platforms attempt to establish a complete operating system for data, itemis ANALYZE takes a deliberately different approach:

Not control through centralization, but sovereignty through openness.

Why is itemis ANALYZE the European choice?

Digital sovereignty by design

As a European solution, itemis ANALYZE is designed with data protection, national security interests and regulatory stability in mind. Dependencies on non-European legal mechanisms are deliberately avoided.

Ethical AI governance instead of surveillance logic

itemis ANALYZE acts as a security layer for AI systems. Decisions are not automatically "waved through", but are secured in a comprehensible, verifiable and rule-based manner.

No vendor lock-in

The non-invasive approach means that data and models remain in the respective primary systems. AI models, data sources and tools remain interchangeable at all times.

Audit-proof thanks to global snapshots

Every basis for decision-making can be reconstructed with pinpoint accuracy. Audit, liability and compliance requirements can be met even years later.

Technological architecture & business value

itemis ANALYZE is positioned between data sources and AI systems and is based on three pillars:

• Non-invasive knowledge graph

Relationships and dependencies are modeled via trace links - without duplicating or moving data.

• Open adapter infrastructure

Heterogeneous IT landscapes remain in place. Cloud backends, databases and DMS are seamlessly integrated.

• Global, audit-proof snapshots

Decision states are frozen and made auditable - the basis for explainable AI and liability minimization.

The result: lower risk, higher audit readiness and maximum future-proofing for upcoming European AI regulations.

Conclusion

The choice of a data and AI platform is no longer a purely technical decision. It is strategic, political and ethical. itemis ANALYZE offers a European alternative for organizations that want to combine performance with transparency, governance and digital sovereignty - without lock-in, without black boxes, without ethical compromises.