About ARKO

Methodology

ARKO (AI Risk Knowledge Open) treats the "risk scenario" as its smallest unit of knowledge: each scenario describes one concrete, recognizable pattern of AI risk, annotated with its risk category (RS) and subcategory (T), severity, lifecycle stages, source roles, affected stakeholders, applicable system types and industries. Each scenario is mapped to corresponding entries in major international frameworks (ISO 23894, NIST AI RMF, OWASP LLM, MITRE ATLAS and others) and closes with actionable controls and implementation steps.

The lifecycle follows eight stages: inception, design & development, verification, deployment, operation & monitoring, continuous validation, re-evaluation, and retirement. This is a practical editorial arrangement, not a verbatim rendering of any standard.

Sources

Content is researched and curated by the author, drawing on public standards, industry frameworks and published security research. Framework mappings are editorial annotations for cross-referencing and do not imply endorsement by the respective standards bodies.

License

Independence

This project is independent from the author's other systems and consulting services; its data is self-contained and not shared with any external system.