Research-driven company
Applied cybersecurity and trustworthy-AI research is translated into architecture, experiments, reproducible artefacts and prototypes.
CyberAI is a Groningen-based cybersecurity and trustworthy-AI research company. We turn explicit assumptions and rigorous methods into secure architectures, reviewable prototypes, validation evidence and realistic deployment routes.
CyberAI combines research discipline, security engineering and a collaboration model designed for projects that require transparent assumptions and measurable evidence.
Applied cybersecurity and trustworthy-AI research is translated into architecture, experiments, reproducible artefacts and prototypes.
Threat boundaries, implementation decisions, validation metrics and operational controls remain connected throughout the technical route.
A lightweight technical partner for Dutch and European universities, companies, research teams and innovation consortia.
The route is structured so that claims, implementation and maturity can be reviewed independently.
Define the threat, assets, actors, interfaces, assumptions, trust boundaries and expected technical result.
Connect analytical choices, architecture, implementation artefacts, policy checks and response logic.
Evaluate data, baselines, metrics, limitations, reproducibility and bounded interpretation.
Address integration, governance, monitoring, rollback, partner constraints and deployment preparation.
The company avoids inflated claims and keeps the relationship between evidence, maturity and practical partner value explicit.
Technical statements require reproducible artefacts, measurable results or clearly bounded assumptions.
Threat models, trust boundaries and lifecycle risks are addressed from the start rather than added later.
Research question, laboratory prototype, partner validation and deployment preparation are reported separately.
Research is structured to produce usable architecture, code, validation evidence and decision support.
Core identity details are visible here; the complete statutory information remains on the legal page.
Define the system boundary, engineering route, validation evidence and realistic maturity path together.