Hosted in Germany
nordnung.ai is operated by us in Germany. We communicate data location, operating model, and responsibilities transparently.
We combine controlled agent logic, hosting in Germany, GDPR compliance, and traceable execution into a security model designed for real enterprise environments.
This page does not replace a shared security review, but it makes our operating model, privacy posture, and governance baseline visible and discussable.
nordnung.ai is operated by us in Germany. We communicate data location, operating model, and responsibilities transparently.
Privacy is not an afterthought claim. Hosting, roles, data handling, and contact paths are aligned to a GDPR-compliant operating model.
Steps, method calls, approvals, and session context are documented for traceability, security, and troubleshooting.
For pilots and customer processes we provide the contractual basis for data processing and security alignment on request.
Where external model providers are still necessary today, they are consciously limited, transparently classified, and never hidden behind a black-box narrative.
Security questions, review requests, and coordinated incident communication run directly through contact@nordnung.ai.
Credential Security
Credentials are standalone objects with a clear mapping to assets or applications. Access only runs through approved paths and never through free-form cleartext handling.
Credentials are managed through HashiCorp Vault with AES-256 and hardware-backed encryption.
The LLM never receives credentials in cleartext. It only uses a controlled injection endpoint.
If a password appears in chat or a screenshot, a security warning is raised and the incident is flagged.
Trust Controls
Security boundaries need to remain visible in live operation. That is why we place special emphasis on the ability to stop sessions, traceability, and tightly bounded permissions.
Any active session can be stopped immediately.
Steps, decisions, and method calls are logged for traceability.
Every agent only receives the rights needed for its specific purpose.
Seeing is believing.
In the demo we show you operating modes, approvals, audit logging, and credential protection mechanics directly inside the running product flow.
Operating model
For nordnung.ai, technical control belongs not only in execution, but also in operations. That is why we communicate clearly where data is processed, how external model providers are integrated, and how we handle operating data.
The telephony orchestration as well as nordnung.ai are operated in a GDPR-compliant manner on servers in northern Germany.
As long as external models remain necessary, nordnung.ai uses providers with European deployment, for example OpenAI through Microsoft Azure in Europe.
Every customer gets their own instance, provisioned in our own data center and running fully independent of other customers' instances. Data, configuration and execution stay strictly separated.
At the instance level, firewall rules clearly limit which access is possible — both from the outside and towards the customer's systems.
We deliberately separate intake, controlled execution, and documented feedback. Not every piece of information should automatically reach every execution path.
Audit and operating data are only retained as long as they are needed for traceability, security, support, and agreed customer processes. Details are clarified in the security review and DPA.
The long-term goal is to be as independent from external providers as possible. Open-source principles and hosting in Germany remain a strategic core.
Security and governance are not treated as static. Review, product iteration, and operational feedback continuously shape the model.
Governance
Security claims have to show up in architecture and operating logic. That is why execution paths are bounded technically, not just rhetorically.
Wrapper actions instead of free code or shell execution
Least privilege per agent, scope, and endpoint
Kill switch and visible approvals in interactive contexts
Clear separation between interaction agents and execution agents
Operating modes
The question is not whether a system can act autonomously, but under which conditions it is allowed to do so. That is why we work with explicit operating modes instead of implicit black-box automation.
Operating mode 1
Every relevant action remains approval-gated. Best suited for early pilots, sensitive environments, and teams that want maximum control.
Operating mode 2
After initial approval, the agent can continue within a defined user context. The allowed methods still remain tightly bounded.
Operating mode 3
After initial approval, defined client-admin actions become possible. Even here there is no free shell access, only predefined execution paths.
Next step
If you want to see how approvals, audit logging, hosting in Germany, and controlled execution work together inside the product, we show that in a shared review.