Clear, citable definitions around enterprise AI — from the EU AI Act and NIS2 to RAG, human-in-the-loop and local AI.
The EU regulation governing AI by risk class. Prohibitions, the AI literacy duty and GPAI rules already apply; high-risk obligations under Annex III were postponed to 2 December 2027 via the Digital Omnibus (as of June 2026, guidance, not legal advice). More on governance →
EU cybersecurity directive. In Germany the NIS2 implementation act has applied since 6 December 2025 and affects around 29,500 companies across 18 sectors — with risk management, BSI registration and reporting duties (24h/72h). More →
The technical documentation the EU AI Act requires for high-risk AI — traceably evidencing architecture, data, testing and risk management. A multi-month effort, not a workshop.
A control principle where humans review, approve or escalate AI decisions. It makes AI traceable and prevents uncontrolled automation.
Connects a language model with your own documents: the AI answers from your content rather than general knowledge. Run locally, your enterprise knowledge stays confidential. More on local AI →
AI whose models and data stay under your control — on-premise or in your own environment instead of an external provider. Strengthens data sovereignty, privacy and resilience. More →
The steering layer above your AI systems: named owners, roles and approvals, human review, logging and evidence. It answers whether you control your AI and cyber risk — and can prove it. More →
A complete, traceable log of all relevant AI and system decisions — the basis for demonstrability and audits.
Data-driven visibility into capabilities, skill gaps and need for action in an organisation. Part of the ZERYON ecosystem at zeryon.de.
The ability of employees to use AI sensibly, safely and critically. The EU AI Act requires AI literacy; building it belongs to the ZERYON learning ecosystem at zeryon.de.
The degree to which a workforce is prepared for new demands — such as AI. More in the ZERYON ecosystem at zeryon.de.
We turn these topics into controllable, auditable AI systems for your company.