We take regulated companies safely to the cloud — and safely to AI. The same competence, the same posture of trust for both leaps. Plus security testing that shows whether both hold up against an attack.
The foundation — migration, advisory, engineering for regulated workloads.
An assessment of your cloud architecture — security, cost, resilience.
Regulated workloads to the cloud — with a supervisory and compliance lens.
Target picture, landing zone and governance for regulated environments.
Delivery and operations — from the pipeline to the running workload.
The spearhead — clear AI for use without clearing your data for exposure. The AI-clearance framework runs in three steps: assessment → adoption → operations.
3–4 days, fixed price. Result: the AI clearance dossier — a named, forwardable document for DPO, CISO and management: shadow-AI baseline, risk and data-flow picture, action plan, tooling recommendation, management summary.
Program: AI policy, tooling rollout (including Redactor deployment as a defined step), training. Outcome: AI clearance instead of a ban.
Monthly capacity, defined response times, committee and audit support, regulatory monitoring — for regulated companies after adoption.
We test cloud and AI environments for vulnerabilities, in three formats and always with written authorization. Details (German) →
A review of architecture, configuration and operational processes, including which systems need a penetration test.
An authorized attack on applications, APIs, cloud accounts, Kubernetes clusters or AI applications, retest included.
A simulated attack over several weeks that tests whether and when your teams notice it.
Spanning both families — embedded technology leadership for regulated environments, by the day. Cloud and AI from one hand, without full-time overhead.
What we do not do: body leasing without accountability, compliance promises without examination, tool sales without adoption.